Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions
暂无分享,去创建一个
[1] Cordelia Schmid,et al. Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.
[2] David Mumford,et al. Statistics of range images , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[3] Bill Triggs,et al. Detecting Keypoints with Stable Position, Orientation, and Scale under Illumination Changes , 2004, ECCV.
[4] Matthew A. Brown,et al. Invariant Features from Interest Point Groups , 2002, BMVC.
[5] Gabriela Csurka,et al. Visual categorization with bags of keypoints , 2002, eccv 2004.
[6] Cordelia Schmid,et al. Shape recognition with edge-based features , 2003, BMVC.
[7] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[8] Yair Weiss,et al. Learning object detection from a small number of examples: the importance of good features , 2004, CVPR 2004.
[9] Mark Meyer,et al. Discrete Differential-Geometry Operators for Triangulated 2-Manifolds , 2002, VisMath.
[10] Ulf Grenander,et al. General Pattern Theory: A Mathematical Study of Regular Structures , 1993 .
[11] Michel Vidal-Naquet,et al. Visual features of intermediate complexity and their use in classification , 2002, Nature Neuroscience.
[12] Dale Purves,et al. Image/source statistics of surfaces in natural scenes , 2003, Network.
[13] Andrew Zisserman,et al. Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[14] Cordelia Schmid,et al. 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[15] Jiri Matas,et al. Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..
[16] Tony Lindeberg,et al. Feature Detection with Automatic Scale Selection , 1998, International Journal of Computer Vision.
[17] Song-Chun Zhu,et al. Towards a mathematical theory of primal sketch and sketchability , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] Stefano Soatto,et al. Features for recognition: viewpoint invariance for non-planar scenes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[19] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[20] Martial Hebert,et al. Incorporating Background Invariance into Feature-Based Object Recognition , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.
[21] Tinne Tuytelaars,et al. Integrating multiple model views for object recognition , 2004, CVPR 2004.
[22] Nuno Vasconcelos. Feature selection by maximum marginal diversity: optimality and implications for visual recognition , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[23] Jitendra Malik,et al. Textons, contours and regions: cue integration in image segmentation , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[24] Luc Van Gool,et al. Simultaneous Object Recognition and Segmentation by Image Exploration , 2004, ECCV.
[25] Horst Bischof,et al. A novel performance evaluation method of local detectors on non-planar scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.
[26] Horst Bischof,et al. Rapid Object Recognition from Discriminative Regions of Interest , 2004, AAAI.
[27] H. Bischof,et al. ROBUST AND FULLY AUTOMATED IMAGE REGISTRATION USING INVARIANT FEATURES , 2004 .
[28] Andrew Zisserman,et al. Viewpoint invariant texture matching and wide baseline stereo , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[29] Pietro Perona,et al. A sparse object category model for efficient learning and exhaustive recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[30] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[31] Cordelia Schmid,et al. An Affine Invariant Interest Point Detector , 2002, ECCV.
[32] Cordelia Schmid,et al. The Geometry and Matching of Curves in Multiple Views , 1998, ECCV.
[33] David W. Jacobs,et al. In search of illumination invariants , 2001, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[34] Stefan Carlsson,et al. Appearance Based Qualitative Image Description for Object Class Recognition , 2004, ECCV.
[35] Pietro Perona,et al. A Bayesian approach to unsupervised one-shot learning of object categories , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[36] C. Schmid,et al. Object Class Recognition Using Discriminative Local Features , 2005 .
[37] Lior Wolf,et al. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weighted-based approach , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[38] Luc Van Gool,et al. Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions , 2000, BMVC.
[39] Michael J. Black,et al. On the Spatial Statistics of Optical Flow , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[40] Pietro Perona,et al. Unsupervised Learning of Models for Recognition , 2000, ECCV.
[41] Cordelia Schmid,et al. On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes , 2002, ECCV.
[42] Trevor Darrell,et al. Efficient image matching with distributions of local invariant features , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[43] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[44] M. Brady,et al. Scale Saliency: a novel approach to salient feature and scale selection , 2003 .
[45] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.