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IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks
Face recognition is an element of many smartphone apps, e.g. face unlocking, people tagging and games. Sparse Representation Classification (SRC) is a state-of-the-art face recognition algorithm, which has been shown to outperform many classical face recognition algorithms in OpenCV. The success of SRC is due to its use of ℓ1 optimisation, which makes SRC robust to noise and occlusions. Since ℓ1 optimisation is computationally intensive, SRC uses random projection matrices to reduce thedoi:10.1109/ipsn.2014.6846756 fatcat:yyyfg35a4jasvmq7vgfdjae5ju