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We propose an automatic deformation-driven correspondence algorithm for 3D point sets of non-rigid articulated shapes. Our approach uses simple geometric cages to embed the point set data and extract and match a coarse set of prominent features. We seek feature correspondences which lead to low-distortion deformations of the cages while satisfying the feature pairing. Our approach operates on the...
Research on 3D face recognition has been intensified in recent years. However, most research has focused on the 3D static data analysis. In this paper, we investigate the face recognition problem using dynamic 3D face model sequences. Based on our newly created 3D dynamic face database, we propose to use a spatio-temporal hidden Markov model (HMM) which incorporates 3D surface feature characterization...
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