Region-based progressive stereo matching
暂无分享,去创建一个
[1] D. Greig,et al. Exact Maximum A Posteriori Estimation for Binary Images , 1989 .
[2] Carlo Tomasi,et al. A Pixel Dissimilarity Measure That Is Insensitive to Image Sampling , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[3] Carlo Tomasi,et al. Multiway cut for stereo and motion with slanted surfaces , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[4] Qian Chen,et al. A volumetric stereo matching method: application to image-based modeling , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[5] Zhengyou Zhang,et al. A Progressive Scheme for Stereo Matching , 2000, SMILE.
[6] Hai Tao,et al. A global matching framework for stereo computation , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[7] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Richard Szeliski,et al. Symmetric Sub-Pixel Stereo Matching , 2002, ECCV.
[9] Radim Sára. Finding the Largest Unambiguous Component of Stereo Matching , 2002, ECCV.
[10] Vladimir Kolmogorov,et al. Multi-camera Scene Reconstruction via Graph Cuts , 2002, ECCV.
[11] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Ye Zhang,et al. Stereo Matching with Segmentation-Based Cooperation , 2002, ECCV.
[13] Cornelius W. A. M. van Overveld,et al. Dense Structure-from-Motion: An Approach Based on Segment Matching , 2002, ECCV.
[14] Nanning Zheng,et al. Stereo Matching Using Belief Propagation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Long Quan,et al. Match Propagation for Image-Based Modeling and Rendering , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[16] 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..
[17] Minglun Gong,et al. Fast stereo matching using reliability-based dynamic programming and consistency constraints , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[18] 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..
[19] Aaron F. Bobick,et al. Large Occlusion Stereo , 1999, International Journal of Computer Vision.
[20] Carlo Tomasi,et al. Surfaces with occlusions from layered stereo , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Long Quan,et al. FAST SEGMENTATION-BASED DENSE STEREO FROM QUASI-DENSE MATCHING , 2004 .
[22] Li Hong,et al. Segment-based stereo matching using graph cuts , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[23] OLGA VEKSLER,et al. Dense Features for Semi-Dense Stereo Correspondence , 2002, International Journal of Computer Vision.
[24] Margrit Gelautz,et al. A layered stereo algorithm using image segmentation and global visibility constraints , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[25] Richard Szeliski,et al. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.