Abstract：A 3D face recognition algorithm based on a local descriptor is presented. The local feature of every sampling point is defined as the area projected by the points in the neighborhood whose size is determined by the angle of normal vector and 3 axes. The contour lines being equidistant with the nose tip are firstly extracted after the original face is preprocessed and normalized to the same posture. Then, the useful sampling points in the contour lines are selected by resampling and local features of these useful sampling points are extracted. Finally, the relationships of corresponding points between faces are established and the local features with weighted fusion are used for matching. Experimental results certify that the proposed method obtains better recognition rate and is robust to occlusion and spikes.
徐俊，达飞鹏. 一种基于局部描述符的三维人脸识别方法[J]. 模式识别与人工智能, 2012, 25(1): 45-53.
XU Jun, DA Fei-Peng. 3D Face Recognition Based on Local Descriptor. , 2012, 25(1): 45-53.
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