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about.html
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<!DOCTYPE html>
<html lang="en"><head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<meta name="description" content="">
<meta name="author" content="">
<title>Modern Business - Start Bootstrap Template</title>
<!-- Bootstrap core CSS -->
<link href="about_files/bootstrap.css" rel="stylesheet">
<!-- Custom styles for this template -->
<link href="about_files/modern-business.css" rel="stylesheet">
</head>
<body data-gr-c-s-loaded="true">
<!-- Navigation -->
<nav class="navbar fixed-top navbar-expand-lg navbar-dark bg-dark fixed-top">
<div class="container">
<a class="navbar-brand" href="index.html">Sparse-MVS Leaderboard</a>
<button class="navbar-toggler navbar-toggler-right" type="button" data-toggle="collapse" data-target="#navbarResponsive" aria-controls="navbarResponsive" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<div class="collapse navbar-collapse" id="navbarResponsive">
<ul class="navbar-nav ml-auto">
<li class="nav-item">
<a class="nav-link" href="index.html">Home</a>
</li>
<li class="nav-item active">
<a class="nav-link" href="about.html">Description</a>
</li>
<li class="nav-item">
<a class="nav-link" href="services.html">Submission</a>
</li>
<li class="nav-item">
<a class="nav-link" href="leaderboard.html">Leaderboard</a>
</li>
<li class="nav-item">
<a class="nav-link" href="contact.html">Contact</a>
</li>
<!-- <li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPortfolio" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
Portfolio
</a>
<div class="dropdown-menu dropdown-menu-right" aria-labelledby="navbarDropdownPortfolio">
<a class="dropdown-item" href="portfolio-1-col.html">1 Column Portfolio</a>
<a class="dropdown-item" href="portfolio-2-col.html">2 Column Portfolio</a>
<a class="dropdown-item" href="portfolio-3-col.html">3 Column Portfolio</a>
<a class="dropdown-item" href="portfolio-4-col.html">4 Column Portfolio</a>
<a class="dropdown-item" href="portfolio-item.html">Single Portfolio Item</a>
</div>
</li>
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="#" id="navbarDropdownBlog" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
Blog
</a>
<div class="dropdown-menu dropdown-menu-right" aria-labelledby="navbarDropdownBlog">
<a class="dropdown-item" href="blog-home-1.html">Blog Home 1</a>
<a class="dropdown-item" href="blog-home-2.html">Blog Home 2</a>
<a class="dropdown-item" href="blog-post.html">Blog Post</a>
</div>
</li>
<li class="nav-item dropdown">
<a class="nav-link dropdown-toggle" href="#" id="navbarDropdownBlog" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
Other Pages
</a>
<div class="dropdown-menu dropdown-menu-right" aria-labelledby="navbarDropdownBlog">
<a class="dropdown-item" href="full-width.html">Full Width Page</a>
<a class="dropdown-item" href="sidebar.html">Sidebar Page</a>
<a class="dropdown-item" href="faq.html">FAQ</a>
<a class="dropdown-item" href="404.html">404</a>
<a class="dropdown-item" href="pricing.html">Pricing Table</a>
</div>
</li> -->
</ul>
</div>
</div>
</nav>
<!-- Page Content -->
<div class="container">
<!-- Page Heading/Breadcrumbs -->
<h1 class="mt-4 mb-3">Description
<!-- <small>Subheading</small> -->
</h1>
<ol class="breadcrumb">
<li class="breadcrumb-item">
<a href="index.html">Home</a>
</li>
<li class="breadcrumb-item active">Description</li>
</ol>
<!-- Intro Content -->
<div class="row">
<div class="col-lg-12">
<h2>About Sparse-MVS</h2>
<p> The sparse-MVS leader-board is based on two datasets, <a href="http://roboimagedata.compute.dtu.dk/?page_id=36">DTU dataset</a> and <a href="https://www.tanksandtemples.org/">Tanks-and-Temples (T&T) dataset</a>.
The sparse MVS setting in our leader-board selects a small proportion
of the camera views by consecutively sampling a view from every sparsity
= n camera index, i.e., {1, n + 1, 2n + 1, · · · }. In reality, it is
also practical to sample small-batches of images at sparse viewpoints,
i.e., grouping batches of views with certain Batchsize at the previously
defined sparse viewpoints with a certain Sparsity. When Sparsity = 3
and Batchsize = 1, the chosen camera indexes are 1 / 4 / 7 / 10 / · · · .
When Sparsity = 3 and Batchsize = 2, the chosen camera indexes are 1,2 /
4,5 / 7,8 / 10,11 / · · · . </p>
<p>The figure below depicts the relationship between sparsity n
and the average baseline angle θ averaging over all the ground-truth
points in the 22 models of the DTU dataset and 8 models of the Tanks and
Temples intermediate dataset respectively. Note that, for simplicity,
only the nearest view pairs are considered to calculate the baseline
angle statistics.</p>
<p>
As the sparsity increases n = 1, ..., 11, the average baseline
angle θ, defined by the intersected projection rays, gradually grows in a
large range, e.g. reaching more than 70° in both DTU and T&T
datasets. So this sparse-MVS setting is reasonable by not only covering
various degrees of sparsity but also containing irregular sampling
locations.
</p>
</div>
<div class="col-lg-6 mb-3">
<!-- <div class="card h-100 text-center"> -->
<img class="card-img-top" src="about_files/dtu_angles.png" alt="">
<div class="card-body">
<center><h4 class="card-title">DTU</h4></center>
<!-- <h6 class="card-subtitle mb-2 text-muted">Position</h6> -->
<p class="card-text">The relationship between sparsity and the average baseline angle on 22 models. See the paper <a href="https://arxiv.org/abs/2005.12690">SurfaceNet+</a> for more details. </p>
</div>
<!-- </div> -->
</div>
<div class="col-lg-6 mb-3">
<!-- <div class="card h-100 text-center"> -->
<img class="card-img-top" src="about_files/tanks_angles.png" alt="">
<div class="card-body">
<center><h4 class="card-title">Tanks-and-Temples (T&T)</h4></center>
<!-- <h6 class="card-subtitle mb-2 text-muted">Position</h6> -->
<p class="card-text">The relationship between sparsity and the average baseline angle on 8 models of intermediate dataset. </p>
</div>
<!-- </div> -->
</div>
<!-- <div class="col-lg-6">
<img class="img-fluid rounded mb-4" src="about_files/750x450.png" alt="">
</div></div> -->
<!-- /.row -->
<!-- Team Members -->
<!-- /.row -->
<!-- Our Customers -->
<!-- <h2>Our Customers</h2>
<div class="row">
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
<div class="col-lg-2 col-sm-4 mb-4">
<img class="img-fluid" src="about_files/500x300.png" alt="">
</div>
</div> -->
<!-- /.row -->
<div class="col-lg-12">
<h2>Evaluation </h2>
<p>
The precision and recall have two metrics: the distance
metric and the percentage metric. The distance metric is the original
DTU dataset matlab code (<a href="http://roboimagedata.compute.dtu.dk/?page_id=36">download</a>). The percentage metric is changed by the evaluation code provided by <a href="https://www.tanksandtemples.org/tutorial/">Tanks and Temples</a> (<a href="https://github.com/intel-isl/TanksAndTemples/tree/master/python_toolbox/evaluation">download</a>).
The overall score for the percentage metric is measured as the f-score,
and a similar measurement for the distance metric overall is given by
the average of the mean precision and mean recall.
</p>
</div>
</div>
<!-- /.container -->
<!-- Footer -->
</div>
<footer class="py-5 bg-dark">
<div class="container">
<p class="m-0 text-center text-white">Copyright © luvision.net</p>
</div>
<!-- /.container -->
</footer>
<!-- Bootstrap core JavaScript -->
<script src="about_files/jquery.js"></script>
<script src="about_files/bootstrap.js"></script>
</body></html>