Boosted deformable model for human body alignment
暂无分享,去创建一个
[1] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[2] Shai Avidan,et al. Support vector tracking , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Gang Hua,et al. Learning to estimate human pose with data driven belief propagation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[4] Jiebo Luo,et al. Body Localization in Still Images Using Hierarchical Models and Hybrid Search , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[5] Jitendra Malik,et al. Recovering human body configurations: combining segmentation and recognition , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[6] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[7] Mun Wai Lee,et al. A model-based approach for estimating human 3D poses in static images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Simon Baker,et al. Active Appearance Models Revisited , 2004, International Journal of Computer Vision.
[9] Takeo Kanade,et al. Learning GMRF Structures for Spatial Priors , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Ting Yu,et al. Gradient Feature Selection for Online Boosting , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[11] Michael J. Black,et al. Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[12] Rainer Lienhart,et al. Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection , 2003, DAGM-Symposium.
[13] Xiaoming Liu,et al. Generic Face Alignment using Boosted Appearance Model , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[14] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[15] Tomaso A. Poggio,et al. Trainable pedestrian detection , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).
[16] Timothy F. Cootes,et al. A Trainable Method of Parametric Shape Description , 1991, BMVC.
[17] Ivan Laptev,et al. Improvements of Object Detection Using Boosted Histograms , 2006, BMVC.
[18] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[19] Fatih Murat Porikli,et al. Integral histogram: a fast way to extract histograms in Cartesian spaces , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[20] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[21] Tomaso A. Poggio,et al. A general framework for object detection , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[22] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[23] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[24] Pedro F. Felzenszwalb. Representation and detection of deformable shapes , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[25] Timothy F. Cootes,et al. Trainable method of parametric shape description , 1992, Image Vis. Comput..
[26] Cristian Sminchisescu,et al. Training Deformable Models for Localization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[27] Jitendra Malik,et al. Recovering human body configurations using pairwise constraints between parts , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[28] Yair Weiss,et al. Learning object detection from a small number of examples: the importance of good features , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..