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Lecture Notes in Computer Science
3D image data provide several advantages than 2D data for face recognition and overcome many problems with 2D intensity images based methods. In this paper, we propose a novel approach to 3D-based face recognition. First, a novel representation, called intrinsic features, is presented to encode local 3D shapes. It describes complementary nonrelational features to provide an intrinsic representation of faces. This representation is extracted after alignment, and is invariant to translation,doi:10.1007/11744047_32 fatcat:36w5syvop5arbplbw67mpgp24e