A Face Recognition method robust to pose variation

摘要：

In this paper,a face recognition method robust to pose variation is proposed.First,Cascade-MR-ASM is utilized to locate feature points in face image,then the location results are mapped into the public parameter space and the shape parameters are obtained.Then the frontal ASM model is obtained by setting zero to parameters related to pose.Then frontal face image is obtained by texture mapping.Finally,face recognition based on eigenface is finished using the K-Nearest Neighbor classifier.The experimental results in CMU_PIE show that the algorithm is robustness to variation of pose.

作者: Wang Ying Wu Lifang Tu Ling Wu Xue

作者单位: School of electronic information and control engineering,Beijing University of Technology School of electronic information and control engineering,Beijing University of Technolog

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）