3D Human Pose Recovery from Monocular Images via Effi cient Visual Feature Selection
暂无分享,去创建一个
Yi Yang | Feiping Nie | Jean-Marc Odobez | Cheng Chen | J. Odobez | Yi Yang | F. Nie | Cheng Chen
[1] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[2] Esther M. Arkin,et al. An efficiently computable metric for comparing polygonal shapes , 1991, SODA '90.
[3] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[5] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[6] Thomas Serre,et al. Object recognition with features inspired by visual cortex , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] 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).
[8] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[9] Luis Enrique Sucar,et al. Human silhouette recognition with Fourier descriptors , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[10] Ramakant Nevatia,et al. Human Pose Tracking in Monocular Sequence Using Multilevel Structured Models , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Nicholas R. Howe,et al. Silhouette lookup for monocular 3D pose tracking , 2007, Image Vis. Comput..
[12] Ankur Agarwal,et al. A Local Basis Representation for Estimating Human Pose from Cluttered Images , 2006, ACCV.
[13] Ankur Agarwal,et al. Hyperfeatures - Multilevel Local Coding for Visual Recognition , 2006, ECCV.
[14] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[15] Yueting Zhuang,et al. Silhouette representation and matching for 3D pose discrimination - A comparative study , 2010, Image Vis. Comput..
[16] S. Gong,et al. Recognising action as clouds of space-time interest points , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Thomas B. Moeslund,et al. A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..
[18] Ronen Basri,et al. Shape Representation and Classification Using the Poisson Equation , 2006, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Paul A. Viola,et al. Learning silhouette features for control of human motion , 2004, SIGGRAPH '04.
[20] Ronald Poppe,et al. Evaluating Example-based Pose Estimation: Experiments on the HumanEva Sets , 2007 .
[21] David Nistér,et al. Scalable Recognition with a Vocabulary Tree , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[22] Sudeep Sarkar,et al. Distribution-Based Dimensionality Reduction Applied to Articulated Motion Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Xu Zhao,et al. Generative tracking of 3D human motion by hierarchical annealed genetic algorithm , 2008, Pattern Recognit..
[24] Trevor Darrell,et al. Fast pose estimation with parameter-sensitive hashing , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[25] Ivan Laptev,et al. On Space-Time Interest Points , 2005, International Journal of Computer Vision.
[26] Ming-Kuei Hu,et al. Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.
[27] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[28] Ralph Roskies,et al. Fourier Descriptors for Plane Closed Curves , 1972, IEEE Transactions on Computers.
[29] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[30] Ankur Agarwal,et al. Recovering 3D human pose from monocular images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] D. Donoho. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution , 2006 .
[33] Feiping Nie,et al. Trace Ratio Criterion for Feature Selection , 2008, AAAI.
[34] Juan Carlos Niebles,et al. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words , 2006, BMVC.
[35] Mannes Poel,et al. Comparison of silhouette shape descriptors for example-based human pose recovery , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[36] Ronald Poppe,et al. Vision-based human motion analysis: An overview , 2007, Comput. Vis. Image Underst..
[37] Rómer Rosales,et al. Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation , 2006, International Journal of Computer Vision.
[38] Pascal Fua,et al. Multicamera People Tracking with a Probabilistic Occupancy Map , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[39] HiltonAdrian,et al. A survey of advances in vision-based human motion capture and analysis , 2006 .
[40] Yueting Zhuang,et al. Adaptive and compact shape descriptor by progressive feature combination and selection with boosting , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Cristian Sminchisescu,et al. Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[42] Jitendra Malik,et al. Efficient shape matching using shape contexts , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] David J. Fleet,et al. Stochastic Tracking of 3 D Human Figures Using 2 D Image Motion , 2000 .
[44] Shaogang Gong,et al. Recognising action as clouds of space-time interest points , 2009, CVPR.