Stereo Using Monocular Cues within the Tensor Voting Framework
暂无分享,去创建一个
[1] Darius Burschka,et al. Advances in Computational Stereo , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[2] OLGA VEKSLER,et al. Dense Features for Semi-Dense Stereo Correspondence , 2002, International Journal of Computer Vision.
[3] Jian Sun,et al. Symmetric stereo matching for occlusion handling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[4] Nanning Zheng,et al. Stereo Matching Using Belief Propagation , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Alan L. Yuille,et al. Occlusions and binocular stereo , 1992, International Journal of Computer Vision.
[6] Y. Aloimonos,et al. Stereo correspondence with slanted surfaces: critical implications of horizontal slant , 2004, CVPR 2004.
[7] Nanning Zheng,et al. Stereo Matching Using Belief Propagation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Olga Veksler,et al. Fast variable window for stereo correspondence using integral images , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[9] Aaron F. Bobick,et al. Large Occlusion Stereo , 1999, International Journal of Computer Vision.
[10] Mi-Suen Lee,et al. Inference of Segmented Overapping Surfaces from Binocular Stereo , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Long Quan,et al. Region-based progressive stereo matching , 2004, CVPR 2004.
[12] Vladimir Kolmogorov,et al. Multi-camera Scene Reconstruction via Graph Cuts , 2002, ECCV.
[13] Larry S. Davis,et al. Window-based, discontinuity preserving stereo , 2004, CVPR 2004.
[14] Mi-Suen Lee,et al. A Computational Framework for Segmentation and Grouping , 2000 .
[15] Carlo Tomasi,et al. Surfaces with occlusions from layered stereo , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Takeo Kanade,et al. Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Takeo Kanade,et al. A Cooperative Algorithm for Stereo Matching and Occlusion Detection , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Gérard G. Medioni,et al. Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Ye Zhang,et al. Stereo Matching with Segmentation-Based Cooperation , 2002, ECCV.
[20] Richard Szeliski,et al. High-accuracy stereo depth maps using structured light , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[21] Mi-Suen Lee,et al. Inferring segmented surface description from stereo data , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[22] Davi Geiger,et al. Occlusions, Discontinuities, and Epipolar Lines in Stereo , 1998, ECCV.
[23] An Luo,et al. An intensity-based cooperative bidirectional stereo matching with simultaneous detection of discontinuities and occlusions , 1995, International Journal of Computer Vision.
[24] Aaron F. Bobick,et al. Disparity-Space Images and Large Occlusion Stereo , 1994, ECCV.
[25] Carlo Tomasi,et al. A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Vladimir Kolmogorov,et al. Computing visual correspondence with occlusions using graph cuts , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[27] Ruzena Bajcsy,et al. On occluding contour artifacts in stereo vision , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] D Marr,et al. Cooperative computation of stereo disparity. , 1976, Science.
[29] Carlo Tomasi,et al. Depth Discontinuities by Pixel-to-Pixel Stereo , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[30] Takeo Kanade,et al. A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[31] Peter N. Belhumeur,et al. A Bayesian approach to binocular steropsis , 1996, International Journal of Computer Vision.
[32] Zhengyou Zhang,et al. A Progressive Scheme for Stereo Matching , 2000, SMILE.
[33] L. Hong,et al. Segment-based stereo matching using graph cuts , 2004, CVPR 2004.
[34] Olga Veksler. Extracting dense features for visual correspondence with graph cuts , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[35] Carlo Tomasi,et al. Multiway cut for stereo and motion with slanted surfaces , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[36] Richard Szeliski,et al. Symmetric Sub-Pixel Stereo Matching , 2002, ECCV.
[37] Masatoshi Okutomi,et al. A Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth Surfaces , 2004, International Journal of Computer Vision.
[38] David Mumford,et al. A Bayesian treatment of the stereo correspondence problem using half-occluded regions , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[39] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Radim Sára. Finding the Largest Unambiguous Component of Stereo Matching , 2002, ECCV.
[41] Narendra Ahuja,et al. Surfaces from Stereo: Integrating Feature Matching, Disparity Estimation, and Contour Detection , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Richard Szeliski,et al. Stereo Matching with Nonlinear Diffusion , 1998, International Journal of Computer Vision.
[43] Hai Tao,et al. A global matching framework for stereo computation , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[44] Gérard G. Medioni,et al. Perceptual grouping for multiple view stereo using tensor voting , 2002, Object recognition supported by user interaction for service robots.
[45] Ingemar J. Cox,et al. A maximum-flow formulation of the N-camera stereo correspondence problem , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[46] Richard Szeliski,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.
[47] William T. Freeman,et al. Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[48] Panos Liatsis,et al. A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo , 2003, IEEE Trans. Evol. Comput..