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+
+
+
+
+ CS460 Assignment 2
+
+
+
+
+
+
+
+ CS460 Assignment 2
+
+
+
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+ Vanilla WebGL!
+
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+ 0
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+
+2
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diff --git a/04/m647hw3soln_1&2.tex b/04/m647hw3soln_1&2.tex
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+\documentclass[10pt]{article}
+
+\usepackage[margin=1in]{geometry}
+\usepackage{amsmath,amsthm,amssymb, graphicx, enumitem}
+\usepackage{amsmath,mleftright}
+\usepackage{xparse}
+
+\newcommand{\N}{\mathbb{N}}
+\newcommand{\Z}{\mathbb{Z}}
+
+
+
+\theoremstyle{definition}
+\newtheorem{problem}{Problem}
+
+\begin{document}
+
+\title{Math 447/647 HW3 Solutions}
+\author{Prepared by Sho and Yahiya}
+\date{}
+\maketitle
+
+\noindent {\bf Suggested reading:} Sections 3.2-3.4
+
+
+
+
+
+
+\begin{problem}
+Let $X_1$ and $X_2$ be independent geometric random variables having the same
+parameter $p$. Compute
+\[
+P\left(X_1 = i | X_1 + X_2 = n\right).
+\]
+Can you guess the answer before you compute it?
+\end{problem}
+
+
+
+
+
+
+% Problem 1 Solution Starts here -Yahiya Hussain
+\begin{proof}[Solution]
+Let: $X_{1}, X_{2} \sim G(p)$\\
+Hence $X_i$ is a discrete Random Variable Such that:
+\begin{equation*}
+ P(X_i = x_i) = \begin{cases}
+ p^{x_{i}-1}q \quad & x_i \geq 1\\
+ 0 & otherwise
+ \end{cases}
+\end{equation*}
+Compute: $P(X_{1} = i | X_{1} + X_{2} = n)$ \\\\
+\begin{align*}
+P(X_{1} = i | X_{1} + X_{2} = n) &=
+ \frac{P(X_1 = i, X_1 + X_2 = n)}
+ {P(X_1 + X_2 = n)}\\
+ &=
+ \frac{P(X_1 = i, X_2 = n - i)}
+ {P(X_1 + X_2 = n)}\\
+\end{align*}
+Since $X_1$ and $X_2$ are i.i.d:
+\begin{align*}
+P(X_{1} = i | X_{1} + X_{2} = n) &=
+ \frac{P(X_1 = i)P(X_2 = n - i)}
+ {P(X_1 + X_2 = n)}
+\end{align*}
+Hence we must compute $P(X_1 + X_2 = n)$\\
+Since $P(X_i \leq 0) = 0$:
+\begin{align*}
+P(X_1 + X_2 = n) &= \sum^{n-1}_{i=1}P(X_1+X_2=n|X_1=i)P(X_1=i)\\
+ &= \sum^{n-1}_{i=1}P(X_2=n-i)P(X_1=i)\\
+ &= \sum^{n-1}_{i=1}(p^{n-i-1}q)(p^{i-1}q)\\
+ &= \sum^{n-1}_{i=1}p^{n-2}q^2\\
+ &= (n-1)p^{n-2}q^2
+\end{align*}
+Hence:
+\begin{align*}
+ P(X_{1} = i | X_{1} + X_{2} = n)
+ &= \frac{P(X_1 = i)P(X_2 = n - i)} {(n-1)p^{n-2}q^2}\\
+ &= \frac{(p^{n - i - 1}q)(p^{i - 1}q)} {(n-1)p^{n-2}q^2}\\
+ &= \frac{1}{n-1}
+\end{align*}
+
+Yes, it is possible to guess the answer before the calculation.
+There must be 1 success in $n-1$ trials and one other success at the last trial.
+
+Since $X_1$ and $X_2$ share the same probability of success, the number of failures until the first success does not change the probability.
+\begin{equation*}
+\mbox{All has the equal probability}
+\begin{cases}
+ SFF\cdots FS\\
+ FSF\cdots FS\\
+ FFS\cdots FS\\
+ \vdots \\
+ FFF\cdots SS\\
+\end{cases}
+\end{equation*}
+This implies the conditional probability of interest would be a uniform distribution.
+\end{proof}
+% Problem 1 Solution Ends here -Yahiya Hussain
+
+
+
+
+
+
+
+
+\begin{problem}
+The joint density of $X$ and $Y$ is given by
+\[
+f (x,y) = \frac{e^{-x/y}e^{-y}}{y}, \quad 0 < x < \infty,\, 0 < y < \infty.
+\]
+Show $E[X|Y = y] = y$.
+\end{problem}
+
+
+
+
+
+
+
+
+
+% Problem 2 Solution Starts here -Yahiya Hussain
+\begin{proof}[Solution]
+Given: $f_{X,Y}(x,y) = \frac{e^{-x/y}e^{-y}}{y}$\\
+By Definition:
+\begin{align*}
+ E[X|Y=y] &= \int_0^\infty xf_{X|Y}(x,y)dx
+\end{align*}
+Importantly:
+\begin{align*}
+ f_{X|Y}(x,y) &=
+ \frac{f_{X,Y}(x,y)}{f_{Y}(y)}
+\end{align*}
+Also Importantly:
+\begin{align*}
+ f_{Y}(y) &= \int_0^\infty f_{X,Y}(x,y)dx\\
+ &= \int_0^\infty \frac{e^{\frac{-x}{y}} e^{-y}}{y}dx\\
+ &= \frac{e^{-y}}{y}\int_0 ^\infty e^{\frac{-x}{y}}dx\\
+ &= \frac{e^{-y}}{y} [-y e^{\frac{-x}{y}}{} \bigg|_0 ^\infty]\\
+ &= e^{-y}
+\end{align*}
+Hence:
+\begin{align*}
+ f_{X|Y}(x,y) &= \frac{\frac{e^{-x/y}e^{-y}}{y}}{e^{-y}}\\
+ &= \frac{e^{-x/y}}{y}
+\end{align*}
+Moreover:
+\begin{align*}
+ E[X|Y=y] &= \frac{1}{y}\int_0^\infty x e^{-x/y}dx\\
+ &= \frac{1}{y}[(x)(-ye^{\frac{-x}{y}})\bigg | _0 ^\infty + \int_0 ^\infty ye^{\frac{-x}{y}}dx]\\
+ &= \frac{1}{y}[-y^2 e^{\frac{-x}{y}}\bigg|_0 ^\infty]\\
+ &= y
+\end{align*}
+\end{proof}
+% Problem 2 Solution Ends here -Yahiya Hussain
+
+
+
+
+
+
+
+
+\begin{problem}
+$A$ and $B$ roll a pair of dice in turn, with $A$ rolling first. $A$'s objective is to obtain
+a sum of 6, and $B$'s is to obtain a sum of 7. The game ends when either player
+reaches his or her objective, and that player is declared the winner.
+\begin{enumerate}[label=(\alph*)]
+\item Find the probability that $A$ is the winner.
+\item Find the expected number of rolls of the dice.
+\item Find the variance of the number of rolls of the dice.
+\end{enumerate}
+\end{problem}
+
+\begin{proof}[Solution]
+%Write solution here.
+\begin{enumerate}[label=(\alph*)]
+ \item Let $p_6$, $p_7$ be probabilities of getting a sum of $6$ and $7$.
+
+ Since $6:\{(1,5),(2,4),(3,3),(4,2),(5,1)\}$ and $7:\{(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)\}$,
+
+ $p_6 = \frac{5}{36}$ and $p_7=\frac{6}{36}=\frac{1}{6}$.
+
+ Let $p_A$ be a probability for A to win. Then,
+ \begin{align*}
+ p_A &= p_6 + (1-p_6)(1-p_7)p_6 + (1-p_6)^2(1-p_7)^2p_6 + \cdots\\
+ &= \frac{p_6}{1-(1-p_6)(1-p_7)}\\
+ &= \frac{30}{61} \sim 0.4918
+ \end{align*}
+
+ \item Let $X$ be a number of rolls, and
+ \begin{equation*}
+ Y=\begin{cases}
+ 1 \mbox{ , if A wins at the first roll} \\
+ 2 \mbox{ , if B wins at the second roll}\\
+ 3 \mbox{ , otherwise}
+ \end{cases}
+ \end{equation*}
+ Then,
+ \begin{align*}
+ E[X] &= E[X|Y=1]P_Y(1) + E[X|Y=2]P_Y(2) + E[X|Y=3]P_Y(3)\\
+ &= 1\cdot p_6 + 2(1-p_6)p_7 + E[X+2](1-p_6)(1-p_7)\\
+ &= p_6 + 2p_7 - 2p_6p_7 + (1-p_6)(1-p_7)E[X] + 2(1-p_6)(1-p_7)\\
+ &= 2-p_6 + (1-p_6)(1-p_7)E[X]
+ \end{align*}
+ Thus,
+ \begin{equation*}
+ E[X] = \frac{2-p_6}{p_6+p_7-p_6p_7}=\frac{402}{61} \sim 6.59
+ \end{equation*}
+
+ \item Similar to (b)
+ \begin{align*}
+ E[X^2] &= E[X^2|Y=1]P_Y(1) + E[X^2|Y=2]P_Y(2) + E[X^2|Y=3]P_Y(3)\\
+ &= 1\cdot p_6 + 2^2(1-p_6)p_7 + E[(X+2)^2](1-p_6)(1-p_7)\\
+ &= p_6 + 4p_7 - 4p_6p_7 + (1-p_6)(1-p_7)E[X^2] + 4(1-p_6)(1-p_7)E[X]+ 4(1-p_6)(1-p_7)\\
+ &= 4-3p_6+4(1-p_6)(1-p_7)E[X] + (1-p_6)(1-p_7)E[X^2]
+ \end{align*}
+ Thus,
+ \begin{equation*}
+ E[X^2] = \frac{4-3p_6+4(1-p_6)(1-p_7)E[X]}{p_6+p_7-p_6p_7}=\frac{296454}{3721}
+ \end{equation*}
+ and, therefore
+ \begin{equation*}
+ Var[X]=E[X^2]-E[X]^2=\frac{134850}{3721}\sim 36.24
+ \end{equation*}
+\end{enumerate}
+
+
+\end{proof}
+
+\begin{problem}
+Let $X_1, \dots ,X_n$ be independent random variables having a common distribution
+function that is specified up to an unknown parameter $\theta$. Let $T = T (X)$ be a function
+of the data $X = (X_1, \dots , X_n)$. If the conditional distribution of $X_1, \dots, X_n$
+given $T (X)$ does not depend on $\theta$ then $T (X)$ is said to be a {\it sufficient statistic} for $\theta$.
+
+Let $X_i$s be Poisson random variables with mean $\theta$.
+Show that $T(X)=X_1+X_2+\cdots+X_n$ is a sufficient
+statistic for $\theta$.
+\end{problem}
+
+\begin{proof}[Solution]
+%Write solution here.
+Since $X_i \sim \mathcal{P}(\theta)$, $T(X) \sim \mathcal{P}(n\theta)$. Here,
+
+\begin{align*}
+P(X_1=x_1,X_2=x_2,\cdots,X_n=x_n|T(X)=t) &= \frac{P(X_1=x_1,X_2=x_2,\cdots,X_n=x_n)}{P(T(X)=t)} &\mbox{,with $\sum_{i=1}^{n}X_i=t$}\\
+&=\frac{\prod_{i=1}^{n}P(X_i=x_i)}{P(T(X)=t)} &\mbox{($X_i$s are i.i.d)}\\
+&=\frac{\prod_{i=1}^{n}\frac{e^{-\theta}\theta^{x_i}}{x_i!}}{\frac{e^{-n\theta}(n\theta)^t}{t!}}\\
+&= \frac{e^{-n\theta}}{e^{-n\theta}}\frac{\theta^{\sum_{i=1}^{n}x_i}}{\theta^t}\frac{t!}{n^t \prod_{i=1}^{n}x_i}\\
+&=\frac{t!}{n^t \prod_{i=1}^{n}x_i}
+\end{align*}
+Therefore, $T(X)$ is a sufficient statistic for $\theta$.
+\end{proof}
+
+
+\end{document}
+
+
+
+
+
+
+
+
+
+
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+
diff --git a/05/xtk.html b/05/xtk.html
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+
+
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--- a/06/index.html
+++ b/06/index.html
@@ -8,8 +8,8 @@
padding: 0;
height: 100%;
overflow: hidden !important;
-
- background-image: url(sky.jpg);
+/*
+ background-image: url(sky.jpg); */
background-repeat: no-repeat;
background-size: 100% 100%;
}
@@ -18,6 +18,9 @@
+
+
+
diff --git a/06/robot.js b/06/robot.js
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+++ b/06/robot.js
@@ -0,0 +1,223 @@
+Robot = function(x,y,z){
+ //head
+ this.head = new THREE.Bone();
+ this.head.position.x = x;
+ this.head.position.y = y;
+ this.head.position.z = z;
+
+
+
+
+ //neck
+ this.neck = new THREE.Bone();
+ this.head.add(this.neck);
+ this.neck.position.y = -10;
+
+
+
+
+ //torso
+ this.torso = new THREE.Bone();
+ this.neck.add(this.torso);
+ this.torso.position.y = -30;
+
+
+
+
+ //left arm stuff
+ this.left_upper_arm = new THREE.Bone();
+ this.left_upper_arm.position.x = 10;
+ this.left_upper_arm.position.y = -5
+ this.neck.add(this.left_upper_arm);
+
+
+
+
+
+ this.left_lower_arm = new THREE.Bone();
+ this.left_lower_arm.position.x = 5;
+ this.left_lower_arm.position.y = -20;
+ this.left_upper_arm.add(this.left_lower_arm);
+
+
+
+
+
+ this.left_hand = new THREE.Bone();
+ this.left_hand.position.x = -1;
+ this.left_hand.position.y = -5;
+ this.left_lower_arm.add(this.left_hand);
+
+
+
+
+ //right arm stuff
+ this.right_upper_arm = new THREE.Bone();
+ this.right_upper_arm.position.x = -10;
+ this.right_upper_arm.position.y = -5
+ this.neck.add(this.right_upper_arm);
+
+
+
+
+
+ this.right_lower_arm = new THREE.Bone();
+ this.right_lower_arm.position.x = -5;
+ this.right_lower_arm.position.y = -20;
+ this.right_upper_arm.add(this.right_lower_arm);
+
+
+
+
+
+ this.right_hand = new THREE.Bone();
+ this.right_hand.position.x = 1;
+ this.right_hand.position.y = -5;
+ this.right_lower_arm.add(this.right_hand);
+
+
+
+
+
+ // left leg stuff
+ this.left_upper_leg = new THREE.Bone();
+ this.left_upper_leg.position.x = 5;
+ this.left_upper_leg.position.y = -5;
+ this.torso.add(this.left_upper_leg);
+
+
+
+
+
+ this.left_lower_leg = new THREE.Bone();
+ this.left_lower_leg.position.x = 2;
+ this.left_lower_leg.position.y = -20;
+ this.left_upper_leg.add(this.left_lower_leg);
+
+
+
+
+
+ this.left_foot = new THREE.Bone();
+ this.left_foot.position.x = 5;
+ this.left_foot.position.y = -1 ;
+ this.left_lower_leg.add(this.left_foot);
+
+
+
+
+
+ // right leg stuff
+ this.right_upper_leg = new THREE.Bone();
+ this.right_upper_leg.position.x = -5;
+ this.right_upper_leg.position.y = -5;
+ this.torso.add(this.right_upper_leg);
+
+
+
+
+
+ this.right_lower_leg = new THREE.Bone();
+ this.right_lower_leg.position.x = -2;
+ this.right_lower_leg.position.y = -20;
+ this.right_upper_leg.add(this.right_lower_leg);
+
+
+
+
+
+ this.right_foot = new THREE.Bone();
+ this.right_foot.position.x = -5;
+ this.right_foot.position.y = -1 ;
+ this.right_lower_leg.add(this.right_foot);
+
+
+
+
+
+
+ this.movement = null; //control with animation to run
+
+ // TODO right leg
+ Robot.prototype.show = function(scene){
+ rGroup = new THREE.Group();
+ rGroup.add(r.head);
+
+ scene.add(rGroup);
+ helper = new THREE.SkeletonHelper(rGroup);
+
+ scene.add(helper);
+ }
+
+ Robot.prototype.raiseLeftArm = function() {
+ this.movement = 'raise left arm';
+ }
+ Robot.prototype.lowerLeftArm = function() {
+ this.movement = 'lower left arm';
+ }
+
+ var kicking;
+ Robot.prototype.kick = function() {
+ this.movement = 'kick';
+ kicking = true;
+ };
+
+
+ Robot.prototype.setPosition = function(x,y,z){
+ this.head.position.x = x;
+ this.head.position.y = y + 66;
+ this.head.position.z = z;
+ };
+
+ Robot.prototype.onAnimate = function(){
+ //called every frame
+
+ if (this.movement == 'raise left arm'){
+
+ var T = Math.PI;
+ var x = Math.sin(T/2)*1;
+ var y = Math.sin(T/2)*0;
+ var z = Math.sin(T/2)*0;
+ var w = Math.cos(T/2);
+
+ this.left_upper_arm.quaternion.slerp(new THREE.Quaternion(x,y,z,w), 0.05);
+ }
+ else if (this.movement == 'lower left arm'){
+
+ var T = 0;
+ var x = Math.sin(T/2)*1;
+ var y = Math.sin(T/2)*0;
+ var z = Math.sin(T/2)*0;
+ var w = Math.cos(T/2);
+
+ this.left_upper_arm.quaternion.slerp(new THREE.Quaternion(x,y,z,w), 0.05);
+ }
+ else if(this.movement == 'kick'){
+
+ var T = Math.PI / 2;
+ var x = Math.sin(T/2)*1;
+ var y = Math.sin(T/2)*0;
+ var z = Math.sin(T/2)*0;
+ var w = Math.cos(T/2);
+
+ if (kicking){
+ this.left_upper_leg.quaternion.slerp(new THREE.Quaternion(x,y,z,w), 0.2);
+ if (this.left_upper_leg.quaternion.angleTo(new THREE.Quaternion(x,y,z,w)) < 0.3){
+ kicking = false;
+ }
+ }
+ else{
+ var T = 0;
+ var x = Math.sin(T/2)*1;
+ var y = Math.sin(T/2)*0;
+ var z = Math.sin(T/2)*0;
+ var w = Math.cos(T/2);
+ this.left_upper_leg.quaternion.slerp(new THREE.Quaternion(x,y,z,w), 0.2);
+ }
+ }
+ }
+
+
+
+
+};
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+++ b/06/test.html
@@ -0,0 +1,150 @@
+---
+layout: page
+permalink: /people
+---
+
+We are an inclusive team and
+love to collaborate!
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Loraine Franke, MS
+
PhD Student in Computer Science
+
+ Bio
+
+
+
+
+
+
+
+
+
+ Jesse Freeman, BS
+
PhD Student in Computer Science
+
+ CV
+
+
+
+
+
+
+
+
+
+ Manish Mourya, MS
+
Machine Psychology Fellow
+
+ Bio
+
+
+
+
+
+
+
+
+ This could be your spot!
+
Scholarships available for full-time and part-time PhD students.
+
+ Join us!
+
+
+
+
+Collaborators
+
+
+
+
+ James Tompkin, PhD
+
Assistant Professor at Brown CS
+
+ Website
+
+
+
+
+
+
+
+ Nam Wook Kim, PhD
+
Assistant Professor at Boston College
+
+ Website
+
+
+
+
+
+
+
+ Mathieu Dehaes, PhD
+
Associate Professor at Université de Montréal
+
+ Website
+
+
+
+
+
+
+
+
+ Yahiya Hussain
+
Undergraduate in Computer Science and Mathematics
+
+
+
+
\ No newline at end of file
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diff --git a/07/index.html b/07/index.html
new file mode 100644
index 00000000..f413c08a
--- /dev/null
+++ b/07/index.html
@@ -0,0 +1,188 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/07/inkman/index.html b/07/inkman/index.html
new file mode 100644
index 00000000..6fc472dd
--- /dev/null
+++ b/07/inkman/index.html
@@ -0,0 +1,302 @@
+
+
+
+
+
+
+ three.js webgl - decal splatter
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
three.js - decal splatter
+ click to shoot
+
+
+
+
+
+
+
+
diff --git a/07/inkman/main.css b/07/inkman/main.css
new file mode 100644
index 00000000..ed2c0a60
--- /dev/null
+++ b/07/inkman/main.css
@@ -0,0 +1,53 @@
+body {
+ margin: 0;
+ background-color: #000;
+ color: #fff;
+ font-family: Monospace;
+ font-size: 13px;
+ line-height: 24px;
+}
+
+a {
+ color: #ff0;
+ text-decoration: none;
+}
+
+a:hover {
+ text-decoration: underline;
+}
+
+button {
+ cursor: pointer;
+ text-transform: uppercase;
+}
+
+canvas {
+ display: block;
+}
+
+#info {
+ position: absolute;
+ top: 0px;
+ width: 100%;
+ padding: 10px;
+ box-sizing: border-box;
+ text-align: center;
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+ pointer-events: none;
+ z-index: 1; /* TODO Solve this in HTML */
+}
+
+a, button, input, select {
+ pointer-events: auto;
+}
+
+.dg.ac {
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+ z-index: 2 !important; /* TODO Solve this in HTML */
+}
diff --git a/07/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg b/07/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg
new file mode 100644
index 00000000..e8a6361d
Binary files /dev/null and b/07/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg differ
diff --git a/07/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb b/07/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb
new file mode 100644
index 00000000..cff335de
Binary files /dev/null and b/07/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb differ
diff --git a/07/inkman/models/gltf/LeePerrySmith/Map-COL.jpg b/07/inkman/models/gltf/LeePerrySmith/Map-COL.jpg
new file mode 100644
index 00000000..7407030a
Binary files /dev/null and b/07/inkman/models/gltf/LeePerrySmith/Map-COL.jpg differ
diff --git a/07/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg b/07/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg
new file mode 100644
index 00000000..8e52e629
Binary files /dev/null and b/07/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg differ
diff --git a/07/inkman/textures/decal/decal-diffuse.png b/07/inkman/textures/decal/decal-diffuse.png
new file mode 100644
index 00000000..c18707c7
Binary files /dev/null and b/07/inkman/textures/decal/decal-diffuse.png differ
diff --git a/07/inkman/textures/decal/decal-normal.jpg b/07/inkman/textures/decal/decal-normal.jpg
new file mode 100644
index 00000000..d7bbf626
Binary files /dev/null and b/07/inkman/textures/decal/decal-normal.jpg differ
diff --git a/07/robot.js b/07/robot.js
new file mode 100644
index 00000000..2831e707
--- /dev/null
+++ b/07/robot.js
@@ -0,0 +1,307 @@
+Robot = function(x, y, z) {
+
+
+
+
+ // create head, neck, and torso
+ var fromhelper = HELPER.cylinderSkeletonMesh( 3, 5, 'red');
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[0] );
+ mesh.bind( skeleton );
+
+ this.root = bones[ 0 ]; // invisible anchor point
+ this.root.position.set( x, y, z );
+
+ this.head = bones[ 1 ];
+ this.neck = bones[ 2 ];
+ this.neck.position.y = -10;
+ this.torso = bones[ 3 ];
+ this.torso.position.y = -30;
+
+ this.body_mesh = mesh;
+
+ //head addition
+ var geometry = new THREE.SphereBufferGeometry( 12, 32, 32 );
+ var material = new THREE.MeshBasicMaterial( {color: 0x123456ff,
+ reflectivity : 1} );
+
+ var sphere = new THREE.Mesh( geometry, material );
+
+ this.head_mesh = sphere;
+ this.head_mesh.position.set(x,y,z);
+
+
+
+
+ // end of head, neck, torso
+
+ // start of left arm
+ var fromhelper = HELPER.cylinderSkeletonMesh( 3, 5, 'green');
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[0] );
+ mesh.bind( skeleton );
+
+ this.neck.add( bones[ 0 ] ); // invisible anchor point
+
+ this.left_upperarm = bones[ 1 ];
+ this.left_upperarm.position.x = 5;
+ this.left_upperarm.position.y = -5;
+
+ this.left_lowerarm = bones[ 2 ];
+ this.left_lowerarm.position.x = 5;
+ this.left_lowerarm.position.y = -15;
+
+ this.left_hand = bones[ 3 ];
+ this.left_hand.position.x = 5;
+ this.left_hand.position.y = -5;
+
+ this.leftarm_mesh = mesh;
+ //end of left arm
+
+ // TODO right arm, left leg, right leg
+
+
+ //right arm
+ var fromhelper = HELPER.cylinderSkeletonMesh( 3, 5, 'blue');
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[0] );
+ mesh.bind( skeleton );
+
+ this.neck.add( bones[ 0 ] ); // invisible anchor point
+
+ this.right_upperarm = bones[ 1 ];
+ this.right_upperarm.position.x = -5;
+ this.right_upperarm.position.y = -5;
+
+ this.right_lowerarm = bones[ 2 ];
+ this.right_lowerarm.position.x = -5;
+ this.right_lowerarm.position.y = -15;
+
+ this.right_hand = bones[ 3 ];
+ this.right_hand.position.x = -5;
+ this.right_hand.position.y = -5;
+
+ this.rightarm_mesh = mesh;
+
+
+
+ //left leg
+ var fromhelper = HELPER.cylinderSkeletonMesh( 3, 5, 'purple');
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[0] );
+ mesh.bind( skeleton );
+
+ this.torso.add( bones[ 0 ] ); // invisible anchor point
+
+ this.left_upperleg = bones[ 1 ];
+ this.left_upperleg.position.x = -5;
+ this.left_upperleg.position.y = -5;
+
+ this.left_lowerleg = bones[ 2 ];
+ this.left_lowerleg.position.x = -5;
+ this.left_lowerleg.position.y = -15;
+
+ this.left_foot = bones[ 3 ];
+ this.left_foot.position.x = -5;
+ this.left_foot.position.y = -5;
+
+ this.leftleg_mesh = mesh;
+
+
+
+ //right leg
+ var fromhelper = HELPER.cylinderSkeletonMesh( 3, 5, 'black');
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[0] );
+ mesh.bind( skeleton );
+
+ this.torso.add( bones[ 0 ] ); // invisible anchor point
+
+ this.right_upperleg = bones[ 1 ];
+ this.right_upperleg.position.x = 5;
+ this.right_upperleg.position.y = -5;
+
+ this.right_lowerleg = bones[ 2 ];
+ this.right_lowerleg.position.x = 5;
+ this.right_lowerleg.position.y = -15;
+
+ this.right_foot = bones[ 3 ];
+ this.right_foot.position.x = 5;
+ this.right_foot.position.y = -5;
+
+ this.rightleg_mesh = mesh;
+
+
+ this.movement = null;
+
+
+
+
+
+
+
+};
+
+
+Robot.prototype.show = function(scene) {
+
+
+ scene.add(this.head_mesh);
+ scene.add(this.body_mesh);
+ scene.add(this.leftarm_mesh);
+ scene.add(this.rightarm_mesh);
+ scene.add(this.leftleg_mesh);
+ scene.add(this.rightleg_mesh);
+
+ // TODO add other body part meshes
+
+};
+
+Robot.prototype.raise_left_arm = function() {
+
+ this.movement = 'raise left arm';
+
+};
+
+Robot.prototype.lower_left_arm = function() {
+
+ this.movement = 'lower left arm';
+
+};
+
+Robot.prototype.kick = function() {
+
+ this.movement = 'kick';
+
+};
+
+Robot.prototype.dance = function() {
+
+ this.movement = 'dance';
+
+};
+
+Robot.prototype.onAnimate = function() {
+
+ if (this.movement == 'raise left arm') {
+
+ var T = Math.PI;
+ this.left_upperarm.quaternion.slerp( new THREE.Quaternion(Math.sin(-T/2), // w
+ 0, // x
+ 0, // y
+ Math.cos(-T/2)), // z
+ 0.1 );
+
+ } else if (this.movement == 'lower left arm') {
+
+ this.left_upperarm.quaternion.slerp( new THREE.Quaternion(0, 0, 0, 1),
+ 0.1 );
+
+ } else if (this.movement == 'kick') {
+
+ // check if slerp reached almost the end
+ if (this.right_upperleg.quaternion.w < 0.72) {
+
+ // signal that the kick is done and the leg should move back
+ this.movement = 'kick done';
+
+ } else {
+
+ var T = -Math.PI/2;
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.1 );
+
+ }
+
+ } else if (this.movement == 'kick done') {
+
+ // reset leg back to identity
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion(0,0,0,1), 0.1 );
+
+ } else if (this.movement == 'dance') {
+
+ console.log(this.dancer);
+ if (typeof this.dancer === 'undefined') {
+
+ this.dancer = setInterval(function() {
+
+ //
+ // some random translation
+ //
+ var shakehead = 3*Math.random();
+ if (Math.random() < .5) {
+ shakehead *= -1;
+ }
+
+ var shakeneck = 3*Math.random();
+ if (Math.random() < .5) {
+ shakeneck *= -1;
+ }
+
+ var shaketorso = 3*Math.random();
+ if (Math.random() < .5) {
+ shaketorso *= -1;
+ }
+
+ this.head.position.x += shakehead;
+ this.root.position.x += shakehead;
+
+ this.neck.position.x += shakeneck;
+
+ this.torso.position.x += shaketorso;
+
+
+ //
+ // use actions
+ //
+ if (Math.random() < .3) {
+ this.raise_left_arm();
+ }
+
+ if (Math.random() < .3) {
+ this.lower_left_arm();
+ }
+
+ if (Math.random() < .3) {
+ this.kick();
+ }
+
+ if (Math.random() < .3) {
+ this.movement = 'kick done';
+ }
+
+ }.bind(this), 500);
+
+ }
+
+ }
+
+};
\ No newline at end of file
diff --git a/07/test.html b/07/test.html
new file mode 100644
index 00000000..f0c6b98d
--- /dev/null
+++ b/07/test.html
@@ -0,0 +1,150 @@
+---
+layout: page
+permalink: /people
+---
+
+We are an inclusive team and
+love to collaborate!
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Loraine Franke, MS
+
PhD Student in Computer Science
+
+ Bio
+
+
+
+
+
+
+
+
+
+ Jesse Freeman, BS
+
PhD Student in Computer Science
+
+ CV
+
+
+
+
+
+
+
+
+
+ Manish Mourya, MS
+
Machine Psychology Fellow
+
+ Bio
+
+
+
+
+
+
+
+
+ This could be your spot!
+
Scholarships available for full-time and part-time PhD students.
+
+ Join us!
+
+
+
+
+Collaborators
+
+
+
+
+ James Tompkin, PhD
+
Assistant Professor at Brown CS
+
+ Website
+
+
+
+
+
+
+
+ Nam Wook Kim, PhD
+
Assistant Professor at Boston College
+
+ Website
+
+
+
+
+
+
+
+ Mathieu Dehaes, PhD
+
Associate Professor at Université de Montréal
+
+ Website
+
+
+
+
+
+
+
+
+ Yahiya Hussain
+
Undergraduate in Computer Science and Mathematics
+
+
+
+
\ No newline at end of file
diff --git a/07/video.mp4 b/07/video.mp4
new file mode 100644
index 00000000..12e51841
Binary files /dev/null and b/07/video.mp4 differ
diff --git a/07/videotexture.html b/07/videotexture.html
new file mode 100644
index 00000000..ee065a68
--- /dev/null
+++ b/07/videotexture.html
@@ -0,0 +1,94 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Video playback with audio requires user interaction.
+
+
+
+
+
\ No newline at end of file
diff --git a/08/Armadillo.ply b/08/Armadillo.ply
new file mode 100644
index 00000000..dceeef11
Binary files /dev/null and b/08/Armadillo.ply differ
diff --git a/08/CS460_Assignment_08__Copy_.pdf b/08/CS460_Assignment_08__Copy_.pdf
new file mode 100644
index 00000000..619941ab
Binary files /dev/null and b/08/CS460_Assignment_08__Copy_.pdf differ
diff --git a/08/Skinning.html b/08/Skinning.html
new file mode 100644
index 00000000..e69de29b
diff --git a/08/beethoven.ply b/08/beethoven.ply
new file mode 100644
index 00000000..bd5f5526
--- /dev/null
+++ b/08/beethoven.ply
@@ -0,0 +1,7560 @@
+ply
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diff --git a/08/helper.js b/08/helper.js
new file mode 100644
index 00000000..477f5d3e
--- /dev/null
+++ b/08/helper.js
@@ -0,0 +1,83 @@
+HELPER = {};
+
+/**
+ * This method returns [geometry, material, bones] to create a skeleton mesh
+ * based on a cylinder.
+ *
+ * @param howmany: Number of bones.
+ * @param howwide: Radius of the cylinder.
+ * @param color: Color of the cylinder.
+ */
+HELPER.cylinderSkeletonMesh = function(howmany, howwide, color) {
+
+ var segmentheight = 10; // just a temporary value but it needs to match for geometry and bones
+ var height = segmentheight * howmany;
+
+ //
+ // inspired by https://threejs.org/docs/scenes/bones-browser.html
+ //
+
+ // step1: geometry
+ var geometry = new THREE.CylinderBufferGeometry(
+ howwide, // radiusTop
+ howwide, // radiusBottom
+ height, // height
+ 8, // radiusSegments
+ howmany * 3, // heightSegments
+ true // openEnded
+ );
+
+ var position = geometry.attributes.position;
+
+ var vertex = new THREE.Vector3();
+
+ var skinIndices = [];
+ var skinWeights = [];
+
+ for ( var i = 0; i < position.count; i ++ ) {
+
+ vertex.fromBufferAttribute( position, i );
+
+ var y = ( vertex.y + height / 2 );
+
+ var skinIndex = Math.floor( y / segmentheight );
+ var skinWeight = ( y % segmentheight ) / segmentheight;
+
+ skinIndices.push( skinIndex, skinIndex + 1, 0, 0 );
+ skinWeights.push( 1 - skinWeight, skinWeight, 0, 0 );
+
+ }
+
+ geometry.setAttribute( 'skinIndex', new THREE.Uint16BufferAttribute( skinIndices, 4 ) );
+ geometry.setAttribute( 'skinWeight', new THREE.Float32BufferAttribute( skinWeights, 4 ) );
+
+ // step 2: setup material
+ var material = new THREE.MeshStandardMaterial( {
+ skinning: true, // IMPORTANT!
+ color: color,
+ side: THREE.DoubleSide,
+ flatShading: true
+ } );
+
+ // step 3: setup bones
+ var bones = [];
+
+ // we always need a dummy parent bone as the anchor point
+ var parentbone = new THREE.Bone();
+ // parentbone.position.y = -height / 2; // weeeeird
+ bones.push(parentbone);
+
+ for (var i=0; i< howmany; i++) {
+
+ var currentbone = new THREE.Bone();
+ currentbone.position.y = segmentheight;
+
+ parentbone.add(currentbone);
+ bones.push(currentbone); // add the bone
+ parentbone = currentbone;
+
+ }
+
+ return [geometry, material, bones];
+
+};
\ No newline at end of file
diff --git a/08/index.html b/08/index.html
new file mode 100644
index 00000000..7ec14c48
--- /dev/null
+++ b/08/index.html
@@ -0,0 +1,156 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/08/inkman/index.html b/08/inkman/index.html
new file mode 100644
index 00000000..6fc472dd
--- /dev/null
+++ b/08/inkman/index.html
@@ -0,0 +1,302 @@
+
+
+
+
+
+
+ three.js webgl - decal splatter
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
three.js - decal splatter
+ click to shoot
+
+
+
+
+
+
+
+
diff --git a/08/inkman/main.css b/08/inkman/main.css
new file mode 100644
index 00000000..ed2c0a60
--- /dev/null
+++ b/08/inkman/main.css
@@ -0,0 +1,53 @@
+body {
+ margin: 0;
+ background-color: #000;
+ color: #fff;
+ font-family: Monospace;
+ font-size: 13px;
+ line-height: 24px;
+}
+
+a {
+ color: #ff0;
+ text-decoration: none;
+}
+
+a:hover {
+ text-decoration: underline;
+}
+
+button {
+ cursor: pointer;
+ text-transform: uppercase;
+}
+
+canvas {
+ display: block;
+}
+
+#info {
+ position: absolute;
+ top: 0px;
+ width: 100%;
+ padding: 10px;
+ box-sizing: border-box;
+ text-align: center;
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+ pointer-events: none;
+ z-index: 1; /* TODO Solve this in HTML */
+}
+
+a, button, input, select {
+ pointer-events: auto;
+}
+
+.dg.ac {
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+ z-index: 2 !important; /* TODO Solve this in HTML */
+}
diff --git a/08/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg b/08/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg
new file mode 100644
index 00000000..e8a6361d
Binary files /dev/null and b/08/inkman/models/gltf/LeePerrySmith/Infinite-Level_02_Tangent_SmoothUV.jpg differ
diff --git a/08/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb b/08/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb
new file mode 100644
index 00000000..cff335de
Binary files /dev/null and b/08/inkman/models/gltf/LeePerrySmith/LeePerrySmith.glb differ
diff --git a/08/inkman/models/gltf/LeePerrySmith/Map-COL.jpg b/08/inkman/models/gltf/LeePerrySmith/Map-COL.jpg
new file mode 100644
index 00000000..7407030a
Binary files /dev/null and b/08/inkman/models/gltf/LeePerrySmith/Map-COL.jpg differ
diff --git a/08/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg b/08/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg
new file mode 100644
index 00000000..8e52e629
Binary files /dev/null and b/08/inkman/models/gltf/LeePerrySmith/Map-SPEC.jpg differ
diff --git a/08/inkman/textures/decal/decal-diffuse.png b/08/inkman/textures/decal/decal-diffuse.png
new file mode 100644
index 00000000..c18707c7
Binary files /dev/null and b/08/inkman/textures/decal/decal-diffuse.png differ
diff --git a/08/inkman/textures/decal/decal-normal.jpg b/08/inkman/textures/decal/decal-normal.jpg
new file mode 100644
index 00000000..d7bbf626
Binary files /dev/null and b/08/inkman/textures/decal/decal-normal.jpg differ
diff --git a/08/marble.jpg b/08/marble.jpg
new file mode 100644
index 00000000..8422f5b1
Binary files /dev/null and b/08/marble.jpg differ
diff --git a/08/robot.js b/08/robot.js
new file mode 100644
index 00000000..a7c10ef6
--- /dev/null
+++ b/08/robot.js
@@ -0,0 +1,343 @@
+Robot = function(x, y, z) {
+
+ // create head, neck, and, torso
+ var fromhelper = HELPER.cylinderSkeletonMesh(3, 5, 'blue')
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[ 0 ] );
+ mesh.bind( skeleton );
+
+ this.root = bones[ 0 ];
+ this.root.position.set(x, y, z);
+
+ this.head = bones[ 1 ];
+ this.neck = bones[ 2 ];
+ this.neck.position.y = -10;
+ this.torso = bones[ 3 ];
+ this.torso.position.y = -30;
+ this.body_mesh = mesh;
+
+
+ // create left arm
+ var fromhelper = HELPER.cylinderSkeletonMesh(3, 5, 'blue')
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[ 0 ] );
+ mesh.bind( skeleton );
+
+ this.neck.add(bones[ 0 ]);
+
+ this.left_upperarm = bones[ 1 ];
+ this.left_upperarm.position.y = -5;
+ this.left_upperarm.position.x = 5;
+ this.left_lowerarm = bones[ 2 ];
+ this.left_lowerarm.position.y = -15;
+ this.left_lowerarm.position.x = 5;
+ this.left_hand = bones[ 3 ];
+ this.left_hand.position.x = 5;
+ this.left_hand.position.y = -5;
+ this.leftarm_mesh = mesh;
+
+
+
+ // create right arm
+ var fromhelper = HELPER.cylinderSkeletonMesh(3, 5, 'blue')
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[ 0 ] );
+ mesh.bind( skeleton );
+
+ this.neck.add(bones[ 0 ]);
+
+ this.right_upperarm = bones[ 1 ];
+ this.right_upperarm.position.y = -5;
+ this.right_upperarm.position.x = -5;
+ this.right_lowerarm = bones[ 2 ];
+ this.right_lowerarm.position.y = -15;
+ this.right_lowerarm.position.x = -5;
+ this.right_hand = bones[ 3 ];
+ this.right_hand.position.x = -5;
+ this.right_hand.position.y = -5;
+ this.rightarm_mesh = mesh;
+
+
+ // create left leg
+ var fromhelper = HELPER.cylinderSkeletonMesh(3, 5, 'blue')
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[ 0 ] );
+ mesh.bind( skeleton );
+
+ this.torso.add(bones[ 0 ]);
+
+ this.left_upperleg = bones[ 1 ];
+ this.left_upperleg.position.y = -5;
+ this.left_upperleg.position.x = 5;
+ this.left_lowerleg = bones[ 2 ];
+ this.left_lowerleg.position.y = -15;
+ this.left_lowerleg.position.x = 5;
+ this.left_foot = bones[ 3 ];
+ this.left_foot.position.x = 5;
+ this.left_foot.position.y = -5;
+ this.leftleg_mesh = mesh;
+
+ // create right leg
+ var fromhelper = HELPER.cylinderSkeletonMesh(3, 5, 'blue')
+ var geometry = fromhelper[0];
+ var material = fromhelper[1];
+ var bones = fromhelper[2];
+
+ var mesh = new THREE.SkinnedMesh( geometry, material );
+ var skeleton = new THREE.Skeleton( bones );
+ mesh.add( bones[ 0 ] );
+ mesh.bind( skeleton );
+
+ this.torso.add(bones[ 0 ]);
+
+ this.right_upperleg = bones[ 1 ];
+ this.right_upperleg.position.y = -5;
+ this.right_upperleg.position.x = -5;
+ this.right_lowerleg = bones[ 2 ];
+ this.right_lowerleg.position.y = -15;
+ this.right_lowerleg.position.x = -5;
+ this.right_foot = bones[ 3 ];
+ this.right_foot.position.x = -5;
+ this.right_foot.position.y = -5;
+ this.rightleg_mesh = mesh;
+
+
+ this.movement = null;
+
+};
+
+
+Robot.prototype.show = function(scene) {
+
+ scene.add(this.body_mesh);
+ scene.add(this.leftarm_mesh);
+ scene.add(this.rightarm_mesh);
+ scene.add(this.leftleg_mesh);
+ scene.add(this.rightleg_mesh);
+
+};
+
+Robot.prototype.raise_left_arm = function() {
+
+ this.movement = 'raise left arm';
+
+};
+
+Robot.prototype.lower_left_arm = function() {
+
+ this.movement = 'lower left arm';
+
+};
+
+Robot.prototype.kick = function() {
+
+ this.movement = 'kick';
+
+};
+
+Robot.prototype.dance = function() {
+
+ this.movement = 'dance';
+
+};
+Robot.prototype.walk = function() {
+
+ this.movement = 'walk';
+
+};
+Robot.prototype.onStep = function() {
+
+ all_robots.forEach(r => {
+ if (r.root.position.equals(this.root.position)){
+ return;
+ }
+ if (r.root.position.distanceTo(this.root.position) < 10){
+ this.root.rotateY(Math.PI/2);
+ }
+ });
+
+
+
+
+ if (this.root.position.z > 490 || this.root.position.z < -490){
+ this.root.rotateY(Math.PI/2);
+ }
+ else if(this.root.position.x > 490 || this.root.position.x < -490){
+ this.root.rotateY(Math.PI/2);
+ }
+ this.root.translateZ(10);
+
+};
+
+
+Robot.prototype.onAnimate = function() {
+ console.log(this.movement);
+ if (this.movement == 'raise left arm') {
+
+ var T = Math.PI;
+ this.left_upperarm.quaternion.slerp( new THREE.Quaternion(Math.sin(-T/2), // w
+ 0, // x
+ 0, // y
+ Math.cos(-T/2)), // z
+ 0.1 );
+
+ } else if (this.movement == 'lower left arm') {
+
+ this.left_upperarm.quaternion.slerp( new THREE.Quaternion(0, 0, 0, 1),
+ 0.1 );
+
+ } else if (this.movement == 'kick') {
+
+ // check if slerp reached almost the end
+ if (this.right_upperleg.quaternion.w < 0.72) {
+
+ // signal that the kick is done and the leg should move back
+ this.movement = 'kick done';
+
+ } else {
+
+ var T = -Math.PI/2;
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.1 );
+
+ }
+
+ } else if (this.movement == 'kick done') {
+
+ // reset leg back to identity
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion(0,0,0,1), 0.1 );
+
+ } else if (this.movement == 'dance') {
+
+ if (typeof this.dancer === 'undefined') {
+
+ this.dancer = setInterval(function() {
+
+ //
+ // some random translation
+ //
+ var shakehead = 3*Math.random();
+ if (Math.random() < .5) {
+ shakehead *= -1;
+ }
+
+ var shakeneck = 3*Math.random();
+ if (Math.random() < .5) {
+ shakeneck *= -1;
+ }
+
+ var shaketorso = 3*Math.random();
+ if (Math.random() < .5) {
+ shaketorso *= -1;
+ }
+
+ this.root.position.x += shakehead;
+
+ this.neck.position.x += shakeneck;
+
+ this.torso.position.x += shaketorso;
+
+
+ //
+ // use actions
+ //
+ if (Math.random() < .3) {
+ this.raise_left_arm();
+ }
+
+ if (Math.random() < .3) {
+ this.lower_left_arm();
+ }
+
+ if (Math.random() < .3) {
+ this.kick();
+ }
+
+ if (Math.random() < .3) {
+ this.movement = 'kick done';
+ }
+
+ }.bind(this), 500);
+
+ }
+
+ }
+
+ else if (this.movement == 'walk'){
+ console.log('a');
+ if (typeof this.submovement === 'undefined'){
+ console.log('a');
+ this.submovement = 'rightstep';
+ }
+ if (this.submovement == 'rightstep'){
+ if (this.right_upperleg.quaternion.w < 0.72) {
+
+ // signal that the kick is done and the leg should move back
+ this.submovement = 'leftstep';
+ }
+ else {
+ var T = -Math.PI/2;
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.4 );
+ var T = 0;
+ this.left_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.4 );
+ }
+ }
+ if (this.submovement == 'leftstep'){
+ if (this.left_upperleg.quaternion.w < 0.72) {
+
+ // signal that the kick is done and the leg should move back
+ this.submovement = 'rightstep';
+ }
+ else {
+ var T = -Math.PI/2;
+ this.left_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.4 );
+ var T = 0;
+ this.right_upperleg.quaternion.slerp( new THREE.Quaternion( Math.sin( T / 2 ), // x
+ 0, // y
+ 0, // z
+ Math.cos( T / 2 ) ), // w
+ 0.4 );
+ }
+ }
+ this.onStep();
+
+
+ }
+
+ return this.movement;
+};
\ No newline at end of file
diff --git a/08/sky.jpg b/08/sky.jpg
new file mode 100644
index 00000000..2b60ccf9
Binary files /dev/null and b/08/sky.jpg differ
diff --git a/08/test.html b/08/test.html
new file mode 100644
index 00000000..f0c6b98d
--- /dev/null
+++ b/08/test.html
@@ -0,0 +1,150 @@
+---
+layout: page
+permalink: /people
+---
+
+We are an inclusive team and
+love to collaborate!
+
+
+
+
+
+
+
+
+
+
+
+
+
+ Loraine Franke, MS
+
PhD Student in Computer Science
+
+ Bio
+
+
+
+
+
+
+
+
+
+ Jesse Freeman, BS
+
PhD Student in Computer Science
+
+ CV
+
+
+
+
+
+
+
+
+
+ Manish Mourya, MS
+
Machine Psychology Fellow
+
+ Bio
+
+
+
+
+
+
+
+
+ This could be your spot!
+
Scholarships available for full-time and part-time PhD students.
+
+ Join us!
+
+
+
+
+Collaborators
+
+
+
+
+ James Tompkin, PhD
+
Assistant Professor at Brown CS
+
+ Website
+
+
+
+
+
+
+
+ Nam Wook Kim, PhD
+
Assistant Professor at Boston College
+
+ Website
+
+
+
+
+
+
+
+ Mathieu Dehaes, PhD
+
Associate Professor at Université de Montréal
+
+ Website
+
+
+
+
+
+
+
+
+ Yahiya Hussain
+
Undergraduate in Computer Science and Mathematics
+
+
+
+
\ No newline at end of file
diff --git a/08/video.mp4 b/08/video.mp4
new file mode 100644
index 00000000..12e51841
Binary files /dev/null and b/08/video.mp4 differ
diff --git a/08/videotexture.html b/08/videotexture.html
new file mode 100644
index 00000000..ee065a68
--- /dev/null
+++ b/08/videotexture.html
@@ -0,0 +1,94 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Video playback with audio requires user interaction.
+
+
+
+
+
\ No newline at end of file
diff --git a/09/CS460_Assignment_09__Copy_.pdf b/09/CS460_Assignment_09__Copy_.pdf
new file mode 100644
index 00000000..928dc3d1
Binary files /dev/null and b/09/CS460_Assignment_09__Copy_.pdf differ
diff --git a/09/deer.obj b/09/deer.obj
new file mode 100644
index 00000000..db461095
--- /dev/null
+++ b/09/deer.obj
@@ -0,0 +1,6265 @@
+# WaveFront *.obj file (generated by CINEMA 4D)
+
+g grp1 grp1_2
+usemtl Mat
+v -295.424526 482.015262 0.010099
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+v 409.030457 1200.344806 93.540318
+v -240.52267 495.214596 -99.409456
+v -220.656788 560.749086 -101.835149
+v -289.960876 557.338915 -151.397942
+v -223.304493 643.514571 -122.843823
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+v -526.790138 688.131806 1.088079
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+v -530.74808 703.62358 -33.956711
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+v -411.519122 558.733777 -143.560359
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+v 476.385346 1311.083972 -216.983502
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+v -58.560606 491.383168 -55.527873
+v -65.22622 469.147117 0.010005
+v -204.735087 497.73946 55.894593
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+v -58.560561 491.338603 55.490558
+v 17.896784 474.927422 -44.175575
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+v 9.296802 471.117861 0.009975
+v 28.148132 643.758363 -171.767124
+v 27.453904 555.677527 -168.993869
+v 152.898176 659.749225 -152.330721
+v 119.945759 552.311019 -156.283146
+v 261.218895 579.198346 -67.317972
+v 191.596384 510.518474 -95.715598
+v 23.041095 721.585117 -143.987259
+v 117.749373 749.756204 -121.395467
+v 172.725879 820.363191 -70.394173
+v 226.444938 726.83414 -93.188927
+v 286.773252 664.887181 -49.812271
+v 28.129039 495.325594 -137.160575
+v 99.40477 495.302825 -137.440849
+v -61.039093 708.849765 -125.01117
+v -55.951144 775.625359 -94.951218
+v 27.152774 795.270185 -104.934234
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+v -261.100979 462.701659 -100.229234
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+v -425.97679 457.475405 -96.096575
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+v 287.77015 1210.44223 37.903009
+v -291.180953 475.214946 -40.076532
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+v 128.457961 11.01878 -117.125681
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+v -290.179425 429.857204 -105.126605
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+v 363.581094 1121.125688 46.574749
+v -381.775218 445.15772 -132.566636
+v -296.607338 480.929757 40.084895
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+v -240.540794 495.126298 99.405948
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+v -312.773684 730.44444 129.443206
+v -301.451396 799.566532 95.431711
+v -227.003909 770.198906 85.381364
+v -353.969487 822.201071 43.172987
+v -402.186598 797.684016 77.36465
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+v -358.381396 827.539225 -0.012622
+v -290.824273 826.364623 -0.057233
+v -353.950398 822.201071 -43.209154
+v -295.387254 817.107749 -54.32585
+v -474.025541 774.694549 38.423566
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+v -225.971217 804.040308 53.346084
+v -141.157666 761.561647 86.740658
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new file mode 100644
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diff --git a/09/images/Alternate/c01/alp_lucina_002_col.png b/09/images/Alternate/c01/alp_lucina_002_col.png
new file mode 100644
index 00000000..62c208a2
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diff --git a/09/images/Alternate/c01/alp_lucina_003_col.png b/09/images/Alternate/c01/alp_lucina_003_col.png
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index 00000000..7dc8e08b
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diff --git a/09/images/Alternate/c01/def_lucina_001_col.png b/09/images/Alternate/c01/def_lucina_001_col.png
new file mode 100644
index 00000000..ad72a02f
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diff --git a/09/images/Alternate/c01/met_lucina_001_col.png b/09/images/Alternate/c01/met_lucina_001_col.png
new file mode 100644
index 00000000..4bf4eb1b
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diff --git a/09/images/Alternate/c02/alp_lucina_001_col.png b/09/images/Alternate/c02/alp_lucina_001_col.png
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diff --git a/09/images/Alternate/c02/alp_lucina_002_col.png b/09/images/Alternate/c02/alp_lucina_002_col.png
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index 00000000..92c2c44c
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diff --git a/09/images/Alternate/c02/alp_lucina_003_col.png b/09/images/Alternate/c02/alp_lucina_003_col.png
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index 00000000..f0849f44
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diff --git a/09/images/Alternate/c02/def_lucina_001_col.png b/09/images/Alternate/c02/def_lucina_001_col.png
new file mode 100644
index 00000000..18857236
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diff --git a/09/images/Alternate/c02/met_lucina_001_col.png b/09/images/Alternate/c02/met_lucina_001_col.png
new file mode 100644
index 00000000..e0f43a16
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diff --git a/09/images/Alternate/c03/alp_lucina_001_col.png b/09/images/Alternate/c03/alp_lucina_001_col.png
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index 00000000..de539415
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diff --git a/09/images/Alternate/c03/alp_lucina_002_col.png b/09/images/Alternate/c03/alp_lucina_002_col.png
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index 00000000..a650a208
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diff --git a/09/images/Alternate/c03/alp_lucina_003_col.png b/09/images/Alternate/c03/alp_lucina_003_col.png
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index 00000000..5619750d
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diff --git a/09/images/Alternate/c03/def_lucina_001_col.png b/09/images/Alternate/c03/def_lucina_001_col.png
new file mode 100644
index 00000000..b43a71c7
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diff --git a/09/images/Alternate/c03/met_lucina_001_col.png b/09/images/Alternate/c03/met_lucina_001_col.png
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index 00000000..e0f43a16
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diff --git a/09/images/Alternate/c04/alp_lucina_001_col.png b/09/images/Alternate/c04/alp_lucina_001_col.png
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index 00000000..83b7004d
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diff --git a/09/images/Alternate/c04/alp_lucina_002_col.png b/09/images/Alternate/c04/alp_lucina_002_col.png
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index 00000000..00250144
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diff --git a/09/images/Alternate/c04/alp_lucina_003_col.png b/09/images/Alternate/c04/alp_lucina_003_col.png
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index 00000000..9333bdcd
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diff --git a/09/images/Alternate/c04/def_lucina_001_col.png b/09/images/Alternate/c04/def_lucina_001_col.png
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diff --git a/09/images/Alternate/c04/met_lucina_001_col.png b/09/images/Alternate/c04/met_lucina_001_col.png
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diff --git a/09/images/Alternate/c05/alp_lucina_001_col.png b/09/images/Alternate/c05/alp_lucina_001_col.png
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diff --git a/09/images/Alternate/c05/alp_lucina_002_col.png b/09/images/Alternate/c05/alp_lucina_002_col.png
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diff --git a/09/images/Alternate/c05/alp_lucina_003_col.png b/09/images/Alternate/c05/alp_lucina_003_col.png
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diff --git a/09/images/Alternate/c05/def_lucina_001_col.png b/09/images/Alternate/c05/def_lucina_001_col.png
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diff --git a/09/images/Alternate/c05/met_lucina_001_col.png b/09/images/Alternate/c05/met_lucina_001_col.png
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index 00000000..ee305676
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diff --git a/09/images/Alternate/c06/alp_lucina_001_col.png b/09/images/Alternate/c06/alp_lucina_001_col.png
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diff --git a/09/images/Alternate/c06/def_lucina_001_col.png b/09/images/Alternate/c06/def_lucina_001_col.png
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diff --git a/09/images/Alternate/c06/met_lucina_001_col.png b/09/images/Alternate/c06/met_lucina_001_col.png
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index 00000000..fb412415
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diff --git a/09/images/Alternate/c07/alp_lucina_001_col.png b/09/images/Alternate/c07/alp_lucina_001_col.png
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index 00000000..69ac85a6
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index 00000000..23c9eb95
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diff --git a/09/images/Alternate/c07/def_lucina_001_col.png b/09/images/Alternate/c07/def_lucina_001_col.png
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diff --git a/09/images/Alternate/c07/met_lucina_001_col.png b/09/images/Alternate/c07/met_lucina_001_col.png
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diff --git a/09/images/Mask/met_lucina_mask_01_ao.png b/09/images/Mask/met_lucina_mask_01_ao.png
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diff --git a/09/images/Mask/met_lucina_mask_01_col.png b/09/images/Mask/met_lucina_mask_01_col.png
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index 00000000..6ee86c97
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diff --git a/09/images/alp_lucina_001_ao.png b/09/images/alp_lucina_001_ao.png
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diff --git a/09/images/alp_lucina_002_nor_a.png b/09/images/alp_lucina_002_nor_a.png
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index 00000000..49f4b8d1
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diff --git a/09/images/alp_lucina_002_nor_b.png b/09/images/alp_lucina_002_nor_b.png
new file mode 100644
index 00000000..fe3f1f21
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diff --git a/09/images/alp_lucina_002_rgh.png b/09/images/alp_lucina_002_rgh.png
new file mode 100644
index 00000000..5d67c412
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diff --git a/09/images/alp_lucina_002_spc.png b/09/images/alp_lucina_002_spc.png
new file mode 100644
index 00000000..f5f323c6
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diff --git a/09/images/alp_lucina_003_ao.png b/09/images/alp_lucina_003_ao.png
new file mode 100644
index 00000000..38b7d546
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diff --git a/09/images/alp_lucina_003_col.png b/09/images/alp_lucina_003_col.png
new file mode 100644
index 00000000..2ad69335
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diff --git a/09/images/alp_lucina_003_mtl.png b/09/images/alp_lucina_003_mtl.png
new file mode 100644
index 00000000..fdceaf75
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diff --git a/09/images/alp_lucina_003_nor.png b/09/images/alp_lucina_003_nor.png
new file mode 100644
index 00000000..4a791ba7
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diff --git a/09/images/alp_lucina_003_nor_a.png b/09/images/alp_lucina_003_nor_a.png
new file mode 100644
index 00000000..552f3668
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diff --git a/09/images/alp_lucina_003_nor_b.png b/09/images/alp_lucina_003_nor_b.png
new file mode 100644
index 00000000..45355f85
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diff --git a/09/images/alp_lucina_003_rgh.png b/09/images/alp_lucina_003_rgh.png
new file mode 100644
index 00000000..46a9e44d
Binary files /dev/null and b/09/images/alp_lucina_003_rgh.png differ
diff --git a/09/images/alp_lucina_003_spc.png b/09/images/alp_lucina_003_spc.png
new file mode 100644
index 00000000..e73ff14c
Binary files /dev/null and b/09/images/alp_lucina_003_spc.png differ
diff --git a/09/images/def_lucina_001_ao.png b/09/images/def_lucina_001_ao.png
new file mode 100644
index 00000000..1dabb8f8
Binary files /dev/null and b/09/images/def_lucina_001_ao.png differ
diff --git a/09/images/def_lucina_001_col.png b/09/images/def_lucina_001_col.png
new file mode 100644
index 00000000..cf6d895f
Binary files /dev/null and b/09/images/def_lucina_001_col.png differ
diff --git a/09/images/def_lucina_001_mtl.png b/09/images/def_lucina_001_mtl.png
new file mode 100644
index 00000000..b143a5aa
Binary files /dev/null and b/09/images/def_lucina_001_mtl.png differ
diff --git a/09/images/def_lucina_001_nor.png b/09/images/def_lucina_001_nor.png
new file mode 100644
index 00000000..4d21d1a2
Binary files /dev/null and b/09/images/def_lucina_001_nor.png differ
diff --git a/09/images/def_lucina_001_nor_a.png b/09/images/def_lucina_001_nor_a.png
new file mode 100644
index 00000000..eecd50dd
Binary files /dev/null and b/09/images/def_lucina_001_nor_a.png differ
diff --git a/09/images/def_lucina_001_nor_b.png b/09/images/def_lucina_001_nor_b.png
new file mode 100644
index 00000000..85e97fa2
Binary files /dev/null and b/09/images/def_lucina_001_nor_b.png differ
diff --git a/09/images/def_lucina_001_rgh.png b/09/images/def_lucina_001_rgh.png
new file mode 100644
index 00000000..f8fe95f6
Binary files /dev/null and b/09/images/def_lucina_001_rgh.png differ
diff --git a/09/images/def_lucina_001_spc.png b/09/images/def_lucina_001_spc.png
new file mode 100644
index 00000000..cbaeee90
Binary files /dev/null and b/09/images/def_lucina_001_spc.png differ
diff --git a/09/images/deyes_eye_lucina__rd_001_col.png b/09/images/deyes_eye_lucina__rd_001_col.png
new file mode 100644
index 00000000..8b5f2ce1
Binary files /dev/null and b/09/images/deyes_eye_lucina__rd_001_col.png differ
diff --git a/09/images/deyes_eye_lucina_ld_001_col.png b/09/images/deyes_eye_lucina_ld_001_col.png
new file mode 100644
index 00000000..f58dcf88
Binary files /dev/null and b/09/images/deyes_eye_lucina_ld_001_col.png differ
diff --git a/09/images/deyes_eye_lucina_wd_001_col.png b/09/images/deyes_eye_lucina_wd_001_col.png
new file mode 100644
index 00000000..0156c6ab
Binary files /dev/null and b/09/images/deyes_eye_lucina_wd_001_col.png differ
diff --git a/09/images/eye_lucina__rg_001_col.png b/09/images/eye_lucina__rg_001_col.png
new file mode 100644
index 00000000..24955af3
Binary files /dev/null and b/09/images/eye_lucina__rg_001_col.png differ
diff --git a/09/images/eye_lucina_b_001_col.png b/09/images/eye_lucina_b_001_col.png
new file mode 100644
index 00000000..9c210206
Binary files /dev/null and b/09/images/eye_lucina_b_001_col.png differ
diff --git a/09/images/eye_lucina_l_b_001_col.png b/09/images/eye_lucina_l_b_001_col.png
new file mode 100644
index 00000000..9d45d814
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diff --git a/09/images/eye_lucina_lg_001_col.png b/09/images/eye_lucina_lg_001_col.png
new file mode 100644
index 00000000..3ef5c4db
Binary files /dev/null and b/09/images/eye_lucina_lg_001_col.png differ
diff --git a/09/images/eye_lucina_w_001_ao.png b/09/images/eye_lucina_w_001_ao.png
new file mode 100644
index 00000000..468efbff
Binary files /dev/null and b/09/images/eye_lucina_w_001_ao.png differ
diff --git a/09/images/eye_lucina_w_001_col.png b/09/images/eye_lucina_w_001_col.png
new file mode 100644
index 00000000..a426f3e9
Binary files /dev/null and b/09/images/eye_lucina_w_001_col.png differ
diff --git a/09/images/eye_lucina_w_001_mtl.png b/09/images/eye_lucina_w_001_mtl.png
new file mode 100644
index 00000000..29e88f62
Binary files /dev/null and b/09/images/eye_lucina_w_001_mtl.png differ
diff --git a/09/images/eye_lucina_w_001_nor.png b/09/images/eye_lucina_w_001_nor.png
new file mode 100644
index 00000000..d2debe2f
Binary files /dev/null and b/09/images/eye_lucina_w_001_nor.png differ
diff --git a/09/images/eye_lucina_w_001_nor_a.png b/09/images/eye_lucina_w_001_nor_a.png
new file mode 100644
index 00000000..f85a3718
Binary files /dev/null and b/09/images/eye_lucina_w_001_nor_a.png differ
diff --git a/09/images/eye_lucina_w_001_nor_b.png b/09/images/eye_lucina_w_001_nor_b.png
new file mode 100644
index 00000000..49f4b8d1
Binary files /dev/null and b/09/images/eye_lucina_w_001_nor_b.png differ
diff --git a/09/images/eye_lucina_w_001_rgh.png b/09/images/eye_lucina_w_001_rgh.png
new file mode 100644
index 00000000..0fdd9090
Binary files /dev/null and b/09/images/eye_lucina_w_001_rgh.png differ
diff --git a/09/images/eye_lucina_w_001_spc.png b/09/images/eye_lucina_w_001_spc.png
new file mode 100644
index 00000000..abd40c99
Binary files /dev/null and b/09/images/eye_lucina_w_001_spc.png differ
diff --git a/09/images/leyes_eye_lucina__rl_001_col.png b/09/images/leyes_eye_lucina__rl_001_col.png
new file mode 100644
index 00000000..2278b2a4
Binary files /dev/null and b/09/images/leyes_eye_lucina__rl_001_col.png differ
diff --git a/09/images/leyes_eye_lucina_ll_001_col.png b/09/images/leyes_eye_lucina_ll_001_col.png
new file mode 100644
index 00000000..4ebaf978
Binary files /dev/null and b/09/images/leyes_eye_lucina_ll_001_col.png differ
diff --git a/09/images/met_lucina_001_ao.png b/09/images/met_lucina_001_ao.png
new file mode 100644
index 00000000..9dbcab03
Binary files /dev/null and b/09/images/met_lucina_001_ao.png differ
diff --git a/09/images/met_lucina_001_col.png b/09/images/met_lucina_001_col.png
new file mode 100644
index 00000000..6ce5aa31
Binary files /dev/null and b/09/images/met_lucina_001_col.png differ
diff --git a/09/images/met_lucina_001_mtl.png b/09/images/met_lucina_001_mtl.png
new file mode 100644
index 00000000..45674c46
Binary files /dev/null and b/09/images/met_lucina_001_mtl.png differ
diff --git a/09/images/met_lucina_001_nor.png b/09/images/met_lucina_001_nor.png
new file mode 100644
index 00000000..005a5a2b
Binary files /dev/null and b/09/images/met_lucina_001_nor.png differ
diff --git a/09/images/met_lucina_001_nor_a.png b/09/images/met_lucina_001_nor_a.png
new file mode 100644
index 00000000..fa4bfecf
Binary files /dev/null and b/09/images/met_lucina_001_nor_a.png differ
diff --git a/09/images/met_lucina_001_nor_b.png b/09/images/met_lucina_001_nor_b.png
new file mode 100644
index 00000000..c95c8f92
Binary files /dev/null and b/09/images/met_lucina_001_nor_b.png differ
diff --git a/09/images/met_lucina_001_rgh.png b/09/images/met_lucina_001_rgh.png
new file mode 100644
index 00000000..76115af7
Binary files /dev/null and b/09/images/met_lucina_001_rgh.png differ
diff --git a/09/images/met_lucina_001_spc.png b/09/images/met_lucina_001_spc.png
new file mode 100644
index 00000000..d26e1858
Binary files /dev/null and b/09/images/met_lucina_001_spc.png differ
diff --git a/09/images/skin_lucina_001_ao.png b/09/images/skin_lucina_001_ao.png
new file mode 100644
index 00000000..4c6dd49c
Binary files /dev/null and b/09/images/skin_lucina_001_ao.png differ
diff --git a/09/images/skin_lucina_001_col.png b/09/images/skin_lucina_001_col.png
new file mode 100644
index 00000000..7095c50b
Binary files /dev/null and b/09/images/skin_lucina_001_col.png differ
diff --git a/09/images/skin_lucina_001_mtl.png b/09/images/skin_lucina_001_mtl.png
new file mode 100644
index 00000000..620466cf
Binary files /dev/null and b/09/images/skin_lucina_001_mtl.png differ
diff --git a/09/images/skin_lucina_001_nor.png b/09/images/skin_lucina_001_nor.png
new file mode 100644
index 00000000..d6243b52
Binary files /dev/null and b/09/images/skin_lucina_001_nor.png differ
diff --git a/09/images/skin_lucina_001_nor_a.png b/09/images/skin_lucina_001_nor_a.png
new file mode 100644
index 00000000..b5193275
Binary files /dev/null and b/09/images/skin_lucina_001_nor_a.png differ
diff --git a/09/images/skin_lucina_001_nor_b.png b/09/images/skin_lucina_001_nor_b.png
new file mode 100644
index 00000000..6a4a9ea4
Binary files /dev/null and b/09/images/skin_lucina_001_nor_b.png differ
diff --git a/09/images/skin_lucina_001_rgh.png b/09/images/skin_lucina_001_rgh.png
new file mode 100644
index 00000000..f11d5f6d
Binary files /dev/null and b/09/images/skin_lucina_001_rgh.png differ
diff --git a/09/images/skin_lucina_001_spc.png b/09/images/skin_lucina_001_spc.png
new file mode 100644
index 00000000..66048e94
Binary files /dev/null and b/09/images/skin_lucina_001_spc.png differ
diff --git a/09/index.html b/09/index.html
index b36f1a10..9a517cbc 100644
--- a/09/index.html
+++ b/09/index.html
@@ -48,6 +48,8 @@
var loader = new THREE.PLYLoader();
+ armad1 = new THREE.Mesh();
+ armad2 = new THREE.Mesh();
loader.load('armadillo.ply', function (geometry) {
geometry.computeVertexNormals();
@@ -56,9 +58,19 @@
color: 0x21ce70
} );
- mesh = new THREE.Mesh( geometry, toonMaterial );
+ depthMat = new THREE.MeshNormalMaterial( {
+ // color: 0x21f360
+ })
+
+
+ mesh1 = new THREE.Mesh( geometry, toonMaterial );
+ mesh2 = new THREE.Mesh( geometry, depthMat);
+ scene.add( mesh1 );
+ scene.add( mesh2 );
+ armad1 = mesh1;
+ armad2 = mesh2;
- scene.add( mesh );
+ mesh2.position.set(150, 0, 10);
} );
@@ -71,11 +83,22 @@
'color': 0xffffff // we can use this single color
// container for all colors in the scene
// if we modify the onChange callback (see below)
-
+ ,'color_p1':0xffffff
+ , 'color_p2':0xffffff
+ , 'color_m1':0xffffff
+ , 'color_m2':0xffffff
// TODO Bonus Part 1
// TODO Bonus Part 2
}
+ light1 = new THREE.PointLight( 0xff0000, 1, 100 );
+ light1.position.set( 50, 50, 50 );
+ scene.add( light1 );
+
+ light2 = new THREE.PointLight( 0xff0000, 1, 100 );
+ light2.position.set( 100, 50, 50 );
+ scene.add( light2 );
+
var gui = new dat.GUI();
var ambientFolder = gui.addFolder('Ambient Light');
@@ -90,6 +113,23 @@
directionalFolder.open();
// TODO Part 4 (control the color and position of point lights)
+ var point1Folder = gui.addFolder('Point Light 1');
+ point1Folder.addColor(controller, 'color_p1').onChange( function(value) { light1.color.setHex(value); });
+ point1Folder.add(light1.position, 'x', -100, 100);
+ point1Folder.add(light1.position, 'y', -100, 100);
+ point1Folder.add(light1.position, 'z', -100, 100);
+ var point2Folder = gui.addFolder('Point Light 2');
+ point2Folder.addColor(controller, 'color_p2').onChange( function(value) { light1.color.setHex(value); });
+ point2Folder.add(light2.position, 'x', -100, 100);
+ point2Folder.add(light2.position, 'y', -100, 100);
+ point2Folder.add(light2.position, 'z', -100, 100);
+ point1Folder.open();
+ point2Folder.open();
+
+ var materialFolder = gui.addFolder('material colors');
+ materialFolder.addColor(controller, 'color_m1').onChange( function(value) {armad1.material.color.setHex(value);});
+ // materialFolder.addColor(controller, 'color_m2').onChange( function(value) {armad2.material.color.setHex(value);});
+ console.log(armad1);
// TODO Part 5 (control the color of both materials in the scene)
diff --git a/09/lucina.dae b/09/lucina.dae
new file mode 100644
index 00000000..a1f98a92
--- /dev/null
+++ b/09/lucina.dae
@@ -0,0 +1,8891 @@
+
+
+
+
+ Centrixe
+ OpenCOLLADA for 3ds Max; Version: 1.6; Revision: 68
+
+ 2019-02-24T22:12:47
+ 2019-02-24T22:12:47
+
+ Z_UP
+
+
+
+
+
+
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+
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+ deyes_eye_lucina_wd_001_col_png
+
+
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+
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+
+
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+ eye_lucina_w_001_col_png
+
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+
+
+
+
+
+
+
+ deyes_eye_lucina_wd_001_col_png
+
+
+
+
+
+
+
+
+
+
+ 0 0 0 1
+
+
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+
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diff --git a/10/convert.py b/10/convert.py
new file mode 100644
index 00000000..b2898fd7
--- /dev/null
+++ b/10/convert.py
@@ -0,0 +1,153 @@
+import numpy as np
+import base64
+
+
+with open("beethoven.ply", 'r') as f:
+ lines = f.readlines()
+
+counter = 0
+vertices_coming = False
+faces_coming = False
+
+for i,l in enumerate(lines):
+
+ if l.startswith('element vertex'):
+ vertexcounter = int(l.split(' ')[-1].strip())
+ elif l.startswith('element face'):
+ facecounter = int(l.split(' ')[-1].strip())
+ elif l.startswith('end_header'):
+ break
+
+vertex_data = lines[i+1:i+vertexcounter+1]
+face_data = lines[i+vertexcounter+1:]
+
+VERTICES = []
+MAX_X = -np.inf
+MAX_Y = -np.inf
+MAX_Z = -np.inf
+MIN_X = np.inf
+MIN_Y = np.inf
+MIN_Z = np.inf
+
+for v in vertex_data:
+ v = [float(v.strip()) for v in v.strip().split(' ')]
+
+ MAX_X = max(MAX_X, v[0])
+ MAX_Y = max(MAX_Y, v[1])
+ MAX_Z = max(MAX_Z, v[2])
+ MIN_X = min(MIN_X, v[0])
+ MIN_Y = min(MIN_Y, v[1])
+ MIN_Z = min(MIN_Z, v[2])
+
+ VERTICES += v
+
+INDICES = []
+MAX = -np.inf
+MIN = np.inf
+for i in face_data:
+ i = [int(i) for i in i.strip().split(' ')[1:]]
+ INDICES += i
+
+ MAX = max(MAX, i[0])
+ MAX = max(MAX, i[1])
+ MAX = max(MAX, i[2])
+ MIN = min(MIN, i[0])
+ MIN = min(MIN, i[1])
+ MIN = min(MIN, i[2])
+
+VERTICES = np.array(VERTICES, dtype=np.float32)
+INDICES = np.array(INDICES, dtype=np.ushort)
+
+
+HOWMANY_V = len(VERTICES) / 3 # because its the number of VEC3 groups
+HOWMANY_I = len(INDICES)
+
+HOWMANYBYTES_V = VERTICES.nbytes
+HOWMANYBYTES_I = INDICES.nbytes
+
+B64_VERTICES = base64.b64encode(VERTICES)
+B64_INDICES = base64.b64encode(INDICES)
+
+gltf = {
+ "asset": {
+ "version": "2.0",
+ "generator": "CS460 Magic Fingers"
+ },
+
+ "accessors": [
+ {
+ "bufferView": 0,
+ "byteOffset": 0,
+ "componentType": 5126,
+ "count": HOWMANY_V,
+ "type": "VEC3",
+ "max": [MAX_X, MAX_Y, MAX_Z],
+ "min": [MIN_X, MIN_Y, MIN_Z]
+ },
+ {
+ "bufferView": 1,
+ "byteOffset": 0,
+ "componentType": 5123,
+ "count": HOWMANY_I,
+ "type": "SCALAR",
+ "max": [MAX],
+ "min": [MIN]
+ }
+ ],
+
+ "bufferViews": [
+ {
+ "buffer": 0,
+ "byteOffset": 0,
+ "byteLength": HOWMANYBYTES_V,
+ "target": 34962
+ },
+ {
+ "buffer": 1,
+ "byteOffset": 0,
+ "byteLength": HOWMANYBYTES_I,
+ "target": 34963
+ }
+ ],
+
+ "buffers": [
+ {
+ "uri": "data:application/octet-stream;base64,"+str(B64_VERTICES, 'utf-8'),
+ "byteLength": HOWMANYBYTES_V
+ },
+ {
+ "uri": "data:application/octet-stream;base64,"+str(B64_INDICES, 'utf-8'),
+ "byteLength": HOWMANYBYTES_I
+ }
+ ],
+
+ "meshes": [
+ {
+ "primitives": [{
+ "mode": 4,
+ "attributes": {
+ "POSITION": 0
+ },
+ "indices": 1
+ }]
+ }
+ ],
+
+ "nodes": [
+ {
+ "mesh": 0
+ }
+ ],
+
+ "scenes": [
+ {
+ "nodes": [
+ 0
+ ]
+ }
+ ],
+
+ "scene": 0
+}
+
+print ( str(gltf).replace("'", '"') ) # we need double quotes instead of single quotes
\ No newline at end of file
diff --git a/10/gltf_output.gltf b/10/gltf_output.gltf
new file mode 100644
index 00000000..87b45698
--- /dev/null
+++ b/10/gltf_output.gltf
@@ -0,0 +1 @@
+{"asset": {"version": "2.0", "generator": "CS460 Magic Fingers"}, "accessors": [{"bufferView": 0, "byteOffset": 0, "componentType": 5126, "count": 2521.0, "type": "VEC3", "max": [4.64855, 5.54417, 3.34742], "min": [-4.64855, -6.03088, -3.31909]}, {"bufferView": 1, "byteOffset": 0, "componentType": 5123, "count": 15090, "type": "SCALAR", "max": [2520], "min": [0]}], "bufferViews": [{"buffer": 0, "byteOffset": 0, "byteLength": 30252, "target": 34962}, {"buffer": 1, "byteOffset": 0, "byteLength": 30180, "target": 34963}], "buffers": [{"uri": 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", "byteLength": 30180}], "meshes": [{"primitives": [{"mode": 4, "attributes": {"POSITION": 0}, "indices": 1}]}], "nodes": [{"mesh": 0}], "scenes": [{"nodes": [0]}], "scene": 0}
diff --git a/10/output.gltf.txt b/10/output.gltf.txt
new file mode 100644
index 00000000..87b45698
--- /dev/null
+++ b/10/output.gltf.txt
@@ -0,0 +1 @@
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", "byteLength": 30180}], "meshes": [{"primitives": [{"mode": 4, "attributes": {"POSITION": 0}, "indices": 1}]}], "nodes": [{"mesh": 0}], "scenes": [{"nodes": [0]}], "scene": 0}
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/CS460_Final_Project_Report_YahiyaHussain.pdf b/FinalProject/Basic-Fluid-Simulation-VWebGL/CS460_Final_Project_Report_YahiyaHussain.pdf
new file mode 100644
index 00000000..4a8e51dd
Binary files /dev/null and b/FinalProject/Basic-Fluid-Simulation-VWebGL/CS460_Final_Project_Report_YahiyaHussain.pdf differ
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/README b/FinalProject/Basic-Fluid-Simulation-VWebGL/README
new file mode 100644
index 00000000..46a1635c
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/README
@@ -0,0 +1,29 @@
+Go to https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL// to see final project
+
+Other Highlights:
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/primitive/randomArray.html
+
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/basics/TexturedQuad_blur_time.html
+
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/SwirlyOctopus.html
+
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/Advection_Angles.html
+
+More:
+
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/Advection_Angles.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/CheckerSwirlies.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/Cloverhole.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/MuscleCells.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/SideBlackHole.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/Sinkhole.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/SwirlyOctopus.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/WhirlPoolWarp.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/roughdrafts/WishingWells.html
+
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/basics/TexturedQuad_blur_time_better.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/basics/TexturedQuad_blur_time.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/basics/TexturedQuad_blur.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/primitive/index_a.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/primitive/barebones.html
+https://yahtzeerage.github.io/cs460student/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/primitive/barebones.html
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/advect_component.frag b/FinalProject/Basic-Fluid-Simulation-VWebGL/advect_component.frag
new file mode 100644
index 00000000..75eb3e73
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/advect_component.frag
@@ -0,0 +1,52 @@
+#ifdef GL_ES
+precision mediump float;
+#endif
+#define PI 3.1415926538
+uniform sampler2D u_data;
+uniform sampler2D u_velocity_x;
+uniform sampler2D u_velocity_y;
+uniform float u_deltaTime;
+uniform vec2 u_inverseResolution;
+
+varying vec2 v_TexCoord;
+
+
+// rbga-float conversion ___
+const vec4 bitSh = vec4(256. * 256. * 256., 256. * 256., 256., 1.);
+const vec4 bitMsk = vec4(0.,vec3(1./256.0));
+const vec4 bitShifts = vec4(1.) / bitSh;
+
+vec4 pack (float value) {
+ vec4 comp = fract(value * bitSh);
+ comp -= comp.xxyz * bitMsk;
+ return comp;
+}
+
+float unpack (vec4 color) {
+ return dot(color , bitShifts);
+}
+
+const float rangeMin = -5.;
+const float rangeMax = 5.;
+
+vec4 convertFromRangeToColor(float value) {
+ float zeroToOne = (value - rangeMin) / (rangeMax - rangeMin);
+ return pack(zeroToOne);
+}
+
+float convertFromColorToRange(vec4 color) {
+ float zeroToOne = unpack(color);
+ return rangeMin + zeroToOne * (rangeMax - rangeMin);
+}
+// ___
+
+void main() {
+
+ // velocity component floats
+ float velocity_x = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord));
+ float velocity_y = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord));
+
+ // grab the velocity of the pixel which is in the opposite direction of my velocity in one time step
+ // I am getting the velocity of myself backwards in time I guess
+ gl_FragColor = texture2D(u_data, v_TexCoord - vec2(velocity_x, velocity_y) * u_deltaTime * u_inverseResolution);
+}
\ No newline at end of file
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/divergence_component.frag b/FinalProject/Basic-Fluid-Simulation-VWebGL/divergence_component.frag
new file mode 100644
index 00000000..1b034b17
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/divergence_component.frag
@@ -0,0 +1,61 @@
+#ifdef GL_ES
+precision mediump float;
+#endif
+#define PI 3.1415926538
+// uniform sampler2D u_data;
+uniform sampler2D u_velocity_x;
+uniform sampler2D u_velocity_y;
+uniform float u_deltaTime;
+uniform float u_density;
+uniform vec2 u_inverseResolution;
+
+varying vec2 v_TexCoord;
+
+
+const vec4 bitSh = vec4(256. * 256. * 256., 256. * 256., 256., 1.);
+const vec4 bitMsk = vec4(0.,vec3(1./256.0));
+const vec4 bitShifts = vec4(1.) / bitSh;
+
+vec4 pack (float value) {
+ vec4 comp = fract(value * bitSh);
+ comp -= comp.xxyz * bitMsk;
+ return comp;
+}
+
+float unpack (vec4 color) {
+ return dot(color , bitShifts);
+}
+
+const float rangeMin = -5.;
+const float rangeMax = 5.;
+
+vec4 convertFromRangeToColor(float value) {
+ float zeroToOne = (value - rangeMin) / (rangeMax - rangeMin);
+ return pack(zeroToOne);
+}
+
+float convertFromColorToRange(vec4 color) {
+ float zeroToOne = unpack(color);
+ return rangeMin + zeroToOne * (rangeMax - rangeMin);
+}
+
+void main() {
+
+ // get all neighboring velocities both x and y component floats
+ float velocity_x = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord));
+ float velocity_x_up = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord + vec2(0., u_inverseResolution.y)));
+ float velocity_x_down = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord + vec2(0., -u_inverseResolution.y)));
+ float velocity_x_right = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord + vec2(u_inverseResolution.x, 0.)));
+ float velocity_x_left = convertFromColorToRange(texture2D(u_velocity_x, v_TexCoord + vec2(-u_inverseResolution.x, 0.)));
+
+ float velocity_y = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord));
+ float velocity_y_up = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord + vec2(0., u_inverseResolution.y)));
+ float velocity_y_down = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord + vec2(0., -u_inverseResolution.y)));
+ float velocity_y_right = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord + vec2(u_inverseResolution.x, 0.)));
+ float velocity_y_left = convertFromColorToRange(texture2D(u_velocity_y, v_TexCoord + vec2(-u_inverseResolution.x, 0.)));
+
+ // calculate the correct divergence and convert to an rgba color and return
+ float divergence = -(2.* u_density) * (1. / u_deltaTime) * (velocity_x_up - velocity_x_down + velocity_y_right - velocity_y_left);
+ gl_FragColor = convertFromRangeToColor(divergence);
+
+}
\ No newline at end of file
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/.gitignore b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/.gitignore
new file mode 100644
index 00000000..f32e31af
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/.gitignore
@@ -0,0 +1,2 @@
+.idea/
+.DS_Store
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.html b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.html
new file mode 100644
index 00000000..8dad5ef1
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.html
@@ -0,0 +1,28 @@
+
+
+
+
+ Draw quad with texture
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.js b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.js
new file mode 100644
index 00000000..7324fd13
--- /dev/null
+++ b/FinalProject/Basic-Fluid-Simulation-VWebGL/folder/FinalDraft/Pressure_componentwise_clean.js
@@ -0,0 +1,823 @@
+
+function main() {
+
+ function setupUniform(programName, uniformName) {
+ gl.shaders[programName].uniforms[uniformName] = gl.getUniformLocation(gl.programs[programName], uniformName);
+ if (!gl.shaders[programName].uniforms[uniformName]){
+ console.log('Failed to get the storage location of ' + uniformName + ' in ' + programName);
+ return false;
+ }
+ }
+
+ canvas = document.getElementById('webgl');
+ canvas.width = window.innerWidth;
+ canvas.height = window.innerHeight;
+ gl = getWebGLContext(canvas);
+ if (!gl) {
+ console.log('Failed to get the rendering context for WebGL');
+ return;
+ }
+
+ /*Shaders woohoo!*/
+
+ {
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "texture.vert", false);
+ oReq.send();
+ VSHADER_SOURCE = oReq.responseText;
+
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "advect_component.frag", false);
+ oReq.send();
+ FSHADER_SOURCE = oReq.responseText;
+
+ if (!initShaders(gl, VSHADER_SOURCE, FSHADER_SOURCE, 'advect_component')) {
+ console.log('Failed to intialize shaders.');
+ return;
+ }
+
+ setupUniform('advect_component', 'u_inverseResolution');
+ setupUniform('advect_component', 'u_velocity_x');
+ setupUniform('advect_component', 'u_velocity_y');
+ setupUniform('advect_component', 'u_deltaTime');
+ setupUniform('advect_component', 'u_data');
+ }
+
+ {
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "texture.vert", false);
+ oReq.send();
+ VSHADER_SOURCE = oReq.responseText;
+
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "divergence_component.frag", false);
+ oReq.send();
+ FSHADER_SOURCE = oReq.responseText;
+
+
+
+
+ if (!initShaders(gl, VSHADER_SOURCE, FSHADER_SOURCE, 'divergence_component')) {
+ console.log('Failed to intialize shaders.');
+ return;
+ }
+
+ setupUniform('divergence_component', 'u_inverseResolution');
+ setupUniform('divergence_component', 'u_velocity_x');
+ setupUniform('divergence_component', 'u_velocity_y');
+ setupUniform('divergence_component', 'u_deltaTime');
+ setupUniform('divergence_component', 'u_density');
+ }
+
+
+
+
+
+ {
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "texture.vert", false);
+ oReq.send();
+ VSHADER_SOURCE = oReq.responseText;
+
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "subtract_component.frag", false);
+ oReq.send();
+ FSHADER_SOURCE = oReq.responseText;
+
+
+
+
+ if (!initShaders(gl, VSHADER_SOURCE, FSHADER_SOURCE, 'subtract_component')) {
+ console.log('Failed to intialize shaders.');
+ return;
+ }
+
+
+ setupUniform('subtract_component', 'u_velocity_component');
+ setupUniform('subtract_component', 'u_component');
+ setupUniform('subtract_component', 'u_pressure');
+ setupUniform('subtract_component', 'u_deltaTime');
+ setupUniform('subtract_component', 'u_density');
+ }
+
+ {
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "texture.vert", false);
+ oReq.send();
+ VSHADER_SOURCE = oReq.responseText;
+
+ var oReq = new XMLHttpRequest();
+ oReq.open("GET", "pressure.frag", false);
+ oReq.send();
+ FSHADER_SOURCE = oReq.responseText;
+
+
+
+
+ if (!initShaders(gl, VSHADER_SOURCE, FSHADER_SOURCE, 'pressure')) {
+ console.log('Failed to intialize shaders.');
+ return;
+ }
+
+ setupUniform('pressure', 'u_inverseResolution');
+ setupUniform('pressure', 'u_divergence');
+ setupUniform('pressure', 'u_pressure');
+ }
+
+
+
+ /*Set the vertex information*/
+ var n = setupGeometry(gl);
+ if (n < 0) {
+ console.log('Failed to set the geometry.');
+ return;
+ }
+
+ // Specify the color for clearing