For facial recognition there are numerous methods available, some of them use local descriptors. In this thesis, for the purpose of face recognition, we will take a closer look at novel local descriptor Alpha-Gamma (shorter AG) developed at the Visual Cognitive Systems Laboratory at the Faculty Of Computer and Information Science, University of Ljubljana. We developed a system for face recognition using bag of words algorithm and SVM classifier. The proposed system was developed for several popular local descriptors and AG. We used publicly available databases for testing. In most cases AG improved facial recognition rate and was shown as a good alternative to other tested local descriptors.
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