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 12-line code to design automatically a computer vision system to detect faces. In the data set 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.