Range image segmentation by an effective jump-diffusion method
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Zhuowen Tu | Feng Han | Song-Chun Zhu | Song-Chun Zhu | Z. Tu | Feng Han
[1] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[2] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[3] Andrew W. Fitzgibbon,et al. An Experimental Comparison of Range Image Segmentation Algorithms , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Dana H. Ballard,et al. Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..
[5] H. Akaike. A Bayesian analysis of the minimum AIC procedure , 1978 .
[6] L. Tierney. Markov Chains for Exploring Posterior Distributions , 1994 .
[7] Jeffrey H. Shapiro,et al. Maximum-likelihood laser radar range profiling with the expectation-maximization algorithm , 1992 .
[8] Raghu Krishnapuram,et al. Morphological methods for detection and classification of edges in range images , 1992, Journal of Mathematical Imaging and Vision.
[9] S. Geman,et al. Diffusions for global optimizations , 1986 .
[10] Walter R. Gilks,et al. Bayesian model comparison via jump diffusions , 1995 .
[11] Adrian Barbu,et al. Graph partition by Swendsen-Wang cuts , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[12] Yizong Cheng,et al. Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[13] A. Wallace,et al. Outlier removal and discontinuity preserving smoothing of range data , 1996 .
[14] Martin A. Fischler,et al. An optimization-based approach to the interpretation of single line drawings as 3D wire frames , 1992, International Journal of Computer Vision.
[15] David Mumford,et al. Filtering, Segmentation and Depth , 1993, Lecture Notes in Computer Science.
[16] David Mumford,et al. Statistics of range images , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[17] P. Green. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination , 1995 .
[18] Ramesh C. Jain,et al. Segmentation through Variable-Order Surface Fitting , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[19] Jake K. Aggarwal,et al. Segmentation of 3D range images using pyramidal data structures , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[20] Charles V. Stewart,et al. Model Selection Techniques and Merging Rules for Range Data Segmentation Algorithms , 2000, Comput. Vis. Image Underst..
[21] Song-Chun Zhu,et al. How Do Heuristics Expedite Markov Chain Search? Hitting-time Analysis of the Independence Metropolis Sampler , 2003 .
[22] Michael I. Miller,et al. REPRESENTATIONS OF KNOWLEDGE IN COMPLEX SYSTEMS , 1994 .
[23] J. Aggarwal,et al. Segmentation of 3D range images using pyramidal data structures , 1993 .
[24] Anil K. Jain,et al. Surface classification: hypothesis testing and parameter estimation , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[25] Harry Shum,et al. Image segmentation by data driven Markov chain Monte Carlo , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[26] Jorma Rissanen,et al. Stochastic Complexity in Statistical Inquiry , 1989, World Scientific Series in Computer Science.
[27] Robert B. Fisher,et al. Reconstruction of Planar Surfaces Behind Occlusions in Range Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Ingemar J. Cox,et al. A Bayesian multiple-hypothesis approach to edge grouping and contour segmentation , 1993, International Journal of Computer Vision.
[29] Anil K. Jain,et al. Segmentation and Classification of Range Images , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Ruzena Bajcsy,et al. Segmentation of range images as the search for geometric parametric models , 1995, International Journal of Computer Vision.
[31] Ralph R. Martin,et al. Robust Segmentation of Primitives from Range Data in the Presence of Geometric Degeneracy , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Zhengyou Zhang,et al. Parameter estimation techniques: a tutorial with application to conic fitting , 1997, Image Vis. Comput..
[33] Dorin Comaniciu,et al. Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[34] Horst Bunke,et al. Comparing Curved-Surface Range Image Segmenters , 1998, ICCV.
[35] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Michael J. Black,et al. On the unification of line processes, outlier rejection, and robust statistics with applications in early vision , 1996, International Journal of Computer Vision.
[37] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Jeffrey H. Shapiro,et al. Detecting objects in three-dimensional laser radar range images , 1994 .
[39] Ioannis Stamos,et al. Geometry and Texture Recovery of Scenes of Large Scale , 2002, Comput. Vis. Image Underst..