SRICP: An Algorithm for Matching Semi-Rigid Three-Dimensional Surfaces
نویسندگان
چکیده
The Iterative Closest Point (ICP) algorithm can accurately register and match 3D rigid surfaces. However, when it comes to non-rigid or semi-rigid surfaces such as the human face, the performance of ICP drops significantly. In this paper, we extend the ICP algorithm and propose a Semi-Rigid ICP algorithm which can match and register semi-rigid surfaces. We compare the performance of SRICP and ICP algorithms in a challenging scenario whereby 3D faces under exaggerated facial expressions are matched to 3D faces under neutral expression for recognition. Our results show that the proposed SRICP algorithm performs significantly better than the original ICP algorithm.
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