Examples

Applications

Fully automated design of a computer vision system

In this example, we show how to read images from a directory, label the images in classes, extract features, select features, select a classifier and evaluate the performance in only 12 lines! see Balu Code.

See how can be used this 10-line code to design automatically a computer vision system to detect faces. In the dataset, there are 60 faces and 200 no-faces. Using only LBP features, Balu is able to select 15 features and a classifier with a performance of 95% validated with cross-validation (warning: the 95% is achieved in this data set, no warranty for other data sets) see Balu Code

Automated detection using a tracking algorithm in multiple X-ray views

In this example, we show how to detect pen tips in pencil cases using a tracking algorithm see Balu Code. Details of the method are published in this paper and video. If you want to use the graphic user interface shown in this video, execute the command Btr_gui and load the file pencase.mat.