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An approach of 3D face recognition by using of facial surface classification image and PCA is presented. In the step of pre-processing, the scattered 3D points of a facial surface are normalized by surface fitting algorithm using multilevel B-splines approximation. Then, partial-ICP method is utilized to adjust 3D face model to be in the right front pose for a better recognition performance. By using...
This paper addresses the problem of 3D face recognition using spherical sparse representations. We first propose a fully automated registration process that permits to align the 3D face point clouds. These point clouds are then represented as signals on the 2D sphere, in order to take benefit of the geometry information. Simultaneous sparse approximations implement a dimensionality reduction process...
The face shape using depth information in the face represents personal features in detail. In particular, the surface curvatures extracted from the face contain the most important personal facial information. In this paper, we develop a method for recognizing range face images by combining the multiple-face-regions (region component based), using fuzzy integral. For the proposed approach, the first...
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