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    題名: Head Pose Estimation Based on Nonlinear Interpolative Mapping
    作者: Lin, Hwei-jen;Chang, Chen-wei;Pai, I-chun
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: Isomap;Radial Basis Function (RBF);face recognition;head pose estimation;nonlinear interpolative mapping
    日期: 2009-12
    上傳時間: 2011-10-24 11:32:47 (UTC+8)
    出版者: Taipei : Institute of electrical and electronics engineers (IEEE)
    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.
    關聯: Proceedings of the 2009 joint conferences on pervasive computing, pp.89-94
    DOI: 10.1109/JCPC.2009.5420207
    顯示於類別:[資訊工程學系暨研究所] 會議論文

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