A REGION TREE BASED IMAGE DISCRETE LABELING FRAMEWORK

[1]  Zhi-Gang Zheng,et al.  A region based stereo matching algorithm using cooperative optimization , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[2]  Olga Veksler,et al.  Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Cheng Lei,et al.  Optical flow estimation on coarse-to-fine region-trees using discrete optimization , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[5]  Yuichi Taguchi,et al.  Stereo reconstruction with mixed pixels using adaptive over-segmentation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[6]  Nassir Navab,et al.  Optical flow estimation with uncertainties through dynamic MRFs , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Peter Meer,et al.  Synergism in low level vision , 2002, Object recognition supported by user interaction for service robots.

[8]  Carsten Rother,et al.  Discrete-Continuous Optimization for Optical Flow Estimation , 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.

[9]  Andreas Klaus,et al.  Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[10]  Jian Sun,et al.  Symmetric stereo matching for occlusion handling , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[11]  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..

[12]  Ruigang Yang,et al.  Multi-resolution real-time stereo on commodity graphics hardware , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[13]  Richard Szeliski,et al.  A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms , 2001, International Journal of Computer Vision.

[14]  Cheng Lei,et al.  A new multiview spacetime-consistent depth recovery framework for free viewpoint video rendering , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[15]  Sing Bing Kang,et al.  Stereo for Image-Based Rendering using Image Over-Segmentation , 2007, International Journal of Computer Vision.

[16]  Laurent Moll,et al.  Real time correlation-based stereo: algorithm, implementations and applications , 1993 .

[17]  Richard Szeliski,et al.  A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Cheng Lei,et al.  Region-Tree Based Stereo Using Dynamic Programming Optimization , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[19]  Richard Szeliski,et al.  High-quality video view interpolation using a layered representation , 2004, SIGGRAPH 2004.

[20]  Richard Szeliski,et al.  A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[21]  Olga Veksler,et al.  Stereo correspondence by dynamic programming on a tree , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[22]  Ronald L. Rivest,et al.  Introduction to Algorithms , 1990 .

[23]  David Salesin,et al.  Interactive digital photomontage , 2004, SIGGRAPH 2004.

[24]  Yi Deng,et al.  A Fast Line Segment Based Dense Stereo Algorithm Using Tree Dynamic Programming , 2006, ECCV.

[25]  W. Freeman,et al.  Generalized Belief Propagation , 2000, NIPS.