Face Recognition using SIFT Features
Description
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.
References
