中文摘要：

提出一种局部描述符进行三维人脸识别.每个采样点的局部特征定义为该点根据其法向量与3个主轴之间的角度自适应选取的邻域点集向人脸主轴平面投影所得的面积.文中提出的三维人脸识别算法首先对人脸进行预处理,归一化到较统一的姿态后,提取与鼻尖等距的轮廓线,并对轮廓线进行重采样以剔除无用点.然后对每个采样点提取局部特征.最后建立人脸之间的点对应关系,将加权融合后的局部特征用于识别.通过实验认证,文中方法识别效果较好,且对遮挡和噪声有较好的鲁棒性.

英文摘要：

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.