Learning inhomogeneous Gibbs model of faces by minimax entropy
暂无分享,去创建一个
Song-Chun Zhu | Ce Liu | H. Shum | H. Shum
[1] F. Bookstein. Size and Shape Spaces for Landmark Data in Two Dimensions , 1986 .
[2] A. Yuille. Deformable Templates for Face Recognition , 1991, Journal of Cognitive Neuroscience.
[3] U. Grenander,et al. Structural Image Restoration through Deformable Templates , 1991 .
[4] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[5] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[6] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[7] Brian D. Ripley,et al. Pattern Recognition and Neural Networks , 1996 .
[8] Yali Amit,et al. Joint Induction of Shape Features and Tree Classifiers , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[9] Song-Chun Zhu,et al. Minimax Entropy Principle and Its Application to Texture Modeling , 1997, Neural Computation.
[10] Takeo Kanade,et al. Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[11] William T. Freeman,et al. Learning to Estimate Scenes from Images , 1998, NIPS.
[12] Song-Chun Zhu,et al. Embedding Gestalt Laws in Markov Random Fields , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[13] William T. Freeman,et al. Learning low-level vision , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[14] Timothy F. Cootes,et al. Combining Elastic and Statistical Models of Appearance Variation , 2000, ECCV.
[15] Takeo Kanade,et al. Hallucinating faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).