Sparse representation, also known as compressed sensing, has been applied recently to image-based face recognition and demonstrated encouraging results. Under this framework, each face is represented by a set of features, which sufficiently characterize each individual. With the prior knowledge that faces of the same individual are similar to each other, a probe face can be considered as being well approximated by linearly combining the k reference faces of the same individual in the training set. Code has been tested on Terravic Facial IR Database. The Terravic Facial Infrared database contains total no. of 20 classes (19 men and 1 woman) of 8-bit gray scale JPEG thermal faces. Size of the database is 298MB and images with different rotations are left, right and frontal face images also available with different items like glass and hat.
Requirements:
Matlab
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