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Face Recognition using SIFT Features


This project was part of the requirements of the CNS/Bi/EE 186: Vision: From Computational Theory to Neuronal Mechanisms class for Winter 2006. It implemented a simple face recognition system in Matlab exploiting the power of SIFT features to discriminate between faces of different individuals. It tested on two datasets: ORL and Yale face datasets, and proved superior to Eigenfaces, Fisherfaces, and Independent Component Analysis approaches.