In this paper, we introduce a new system for face recognition by matching 3D face shape. This algorithm selects multiple regions of the face for matching in an attempt to reduce the effects caused by variations in expression between gallery and probe images. Experimental results are reported using the Face Recognition Grand Challenge v2.0 data set Our results demonstrate improved performance relative to those of four previous papers using this same data set.
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