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Facial images are affected by multiple factors including facial geometries, expressions, viewpoints and illuminations. We apply multi-linear algebra to separate these factors and extract the people factor used for face recognition. Compared to standard PCA and its variants, the method allows for bigger changes in viewpoints and illuminations. Our method is based on the method, adding color information,...
Automatic location of face salient points is one of the key steps in 3D face recognition. This paper presents a fully automatic locating algorithm for 3D facial nose tip and inner eye corner in different views, which relies on a statistical model by combining local shape map and local shape index with the statistical radius of the local shape map. The experimental results on the CASIA 3D face database...
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