Face recognition based on SIGMA sets of image features
作者： Ramya Srinivasan , Abhishek Nagar , Anshuman Tewari , Donato Mitrani , Amit Roy-Chowdhury
DOI: 10.1109/ICASSP.2014.6853646
关键词:
摘要: Automatic face recognition is prevalent in a wide range of systems these days and it critical to explore new techniques order enhance the state art. In this paper, we analyze Region Covariance Matrix (RCM) its enhancement based on Sigma sets as feature extraction procedure for images. The RCM features encode covariance various low level features, e.g., pixel intensities gradients. sets, other hand, reduce computational complexity comparing two RCMs. Based our experiments Labeled Faces Wild (LFW) dataset, show that proposed technique outperforms popular Local Binary Patterns (LBP) par with better performing use complex classifiers.
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