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Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets
2015
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
This paper presents a method named Discriminant Analysis on Riemannian manifold of Gaussian distributions (DARG) to solve the problem of face recognition with image sets. Our goal is to capture the underlying data distribution in each set and thus facilitate more robust classification. To this end, we represent image set as Gaussian Mixture Model (GMM) comprising a number of Gaussian components with prior probabilities and seek to discriminate Gaussian components from different classes. In the
doi:10.1109/cvpr.2015.7298816
dblp:conf/cvpr/WangWHSC15
fatcat:xw7anblsjra6hnw6vi4ks6vwje