Face Orientation Estimation by particle swarm optimization

摘要：

Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation probleM more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarM optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.

关键词： face orientation estimation particle swarm optimization 6-point template

作者: Yudong Zhang Lenan Wu Zhengchao Dong Shuihua Wang Zhengyu Zhou

作者单位: School of Information Science and Engineering, Southeast University, Nanjing China Pediatric Brain I School of Information Science and Engineering, Southeast University, Nanjing China Pediatric Brain Imaging Laboratory, Department of Psychiatry, Columbia University, New York, NY 1003

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 388-391

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）