Head Pose Estimation Based on Nonlinear Interpolative Mapping
學年 98
學期 1
發表日期 2009-12-03
作品名稱 Head Pose Estimation Based on Nonlinear Interpolative Mapping
著者 Lin, Hwei-jen; Chang, Chen-wei; Pai, I-chun
作品所屬單位 淡江大學資訊工程學系
出版者 Taipei : Institute of electrical and electronics engineers (IEEE)
會議名稱 JCPC 2009 Joint Conferences on Pervasive Computing
會議地點 Taipei, Taiwan
摘要 The performance of face recognition systems depends on conditions being consistent, including lighting, pose and facial expression. To solve the problem produced by pose variation it is suggested to pre-estimate the pose orientation of the given head image before it is recognized. In this paper, we propose a head pose estimation method that is an improvement on the one proposed by N. Hu et al. The proposed method trains in a supervised manner a nonlinear interpolative mapping function that maps input images to predicted pose angles. This mapping function is a linear combination of some Radial Basis Functions (RBF). The experimental results show that our proposed method has a better performance than the method proposed by Nan Hu et al. in terms of both time efficiency and estimation accuracy.
關鍵字 Isomap;Radial Basis Function (RBF);face recognition; head pose estimation;nonlinear interpolative mapping
語言 en
會議性質 國際
校內研討會地點 淡水校園
研討會時間 20091203~20091205
國別 TWN
公開徵稿 Y
出版型式 紙本 電子版
出處 Proceedings of the 2009 joint conferences on pervasive computing, pp.89-94

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/73137 )