3D Face Recognition Based on Local Curvature Feature Matching
In this paper,an approach based on local curvature feature matching for 3D face recognition is proposed.K-L transformation is employed to adjust coordinate system and coarsely align 3D point cloud.Based on B-splines approximation,3D facial surface reconstruction is implemented.Through analyzing curvature features of the fitted surface,local rigid facial patches are extracted.According to the extracted local patches,feature vectors are constructed to execute final recognition.Experimental results demonstrate high performance of the presented method and also show that the method is fairly effective for 3D face recognition.
face recognition 3D data local facial patch curvature feature
Daoqing Sheng Guoyue Chen Kazuki Saruta Yuki Terata
Graduate School of Systems Science and Technology, Akita Prefectual University, Japan
国际会议
台湾
英文
609-616
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）