會議論文
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 |
作品名稱(其他語言) | |
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 |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | 淡水校園 |
研討會時間 | 20091203~20091205 |
通訊作者 | |
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 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/73137 ) |