Learning static object segmentation from motion segmentation

Learning static object segmentation from motion segmentation (2005)

Cached

Download Links

[web.mit.edu]

Other Repositories/Bibliography

DBLP

by Michael Gregory Ross

Venue:
Citations:	8 - 1 self

BibTeX

@MISC{Ross05learningstatic,
    author = {Michael Gregory Ross},
    title = {Learning static object segmentation from motion segmentation},
    year = {2005}
}

Bookmark

OpenURL

Abstract

Citations

5662	Probabilistic reasoning in intelligent systems: networks of plausible inference - Pearl - 1988
3104	Distinctive Image Features from Scale-Invariant Keypoints - Lowe - 2004
3011	Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration of Images - Geman, Geman - 1984
2960	Artificial Intelligence: A Modern Approach. 2nd edn - Russell, Norvig - 2003
2440	Snakes: active contour models - Kass, Witkin, et al. - 1988
2367	A computational approach to edge detection - Canny - 1986
1824	Normalized cuts and image segmentation - Shi, Malik - 2000
1548	F: Conditional Random Fields: Probabilistic models for segmenting and labeling sequence data - Lafferty, McCallum, et al. - 2001
1376	Determining optical flow - Horn, Schunck - 1981
1371	Rapid object detection using a boosted cascade of simple features - Viola, Jones - 2001
1273	Robot vision - Horn - 1986
912	Spatial interaction and the statistical analysis of lattice systems - Besag - 1974
907	Fast approximate energy minimization via graph cuts - Boykov, Veksler, et al.
736	On the statistical analysis of dirty pictures - Besag - 1986
634	Adaptive background mixture models for real-time tracking - Stauffer, Grimson - 1999
533	Computer Vision: A Modern Approach - Forsyth, Ponce - 2002
486	Shape modeling with front propagation: a level set approach - Malladi, Sethian, et al. - 1995
473	Region competition: unifying snakes, region growing, and Bayes/MDL for multi-band image segmentation - Zhu, Yuille - 1996
424	What energy functions can be minimized via graph cuts - Kolmogorov, Zabih
382	Learning low level vision - Freeman, Pasztor - 1999
365	A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics - Martin, Fowlkes, et al. - 2001
364	Loopy belief propagation for approximate inference: an empirical study - Murphy, Weiss, et al. - 1999
266	Learning to detect natural image boundaries using local brightness, color, and texture cues - Martin, Fowlkes, et al.
242	Vision science. Photons to phenomenology - Palmer - 1999
214	Understanding belief propagation and its generalizations - Yedidia, Freeman, et al. - 2001
196	Markov Random Field Modeling in Image Analysis - Li - 2001
195	Constructing simple stable descriptions for image partitioning, lmernational - Leclerc - 1989
139	Nonparametric belief propagation - Sudderth, Ihler, et al. - 2003
130	WT: On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs - Weiss, Freeman
108	Class-specific, top-down segmentation - Borenstein, Ullman - 2002
101	High-Level Vision - Ullman - 1996
92	Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters - Tappen, Freeman - 2003
87	Structural saliency: The detection of globally salient structures using a locally connected network - Shashua, Ullman - 1988
74	Introduction to probabilistic graphical models. 2007. Forthcoming - Jordan
73	Tree-based reparameterization framework for analysis of sum-product and related algorithms - Wainwright, Jaakkola, et al. - 2003
64	Belief propagation and revision in networks with loops - Weiss - 1997
44	S.C.; Statistical Edge Detection: Learning and Evaluating Edge Cues - Konishi, Yuille, et al.
43	On the uniqueness of loopy belief propagation fixed points - Heskes
38	Level set based segmentation with intensity and curvature priors - Leventon, Grimson, et al. - 2000
35	From First Contact to Close Encounters: A developmentally deep perceptual system for a humanoid robot - Fitzpatrick - 2003
30	Tree-reweighted belief propagation and approximate ML estimation by pseudo-moment matching - Wainwright, Jaakkola, et al. - 2003
29	Learning to segment - Borenstein, Ullman - 2004
25	Efficiently computing a good segmentation - Felzenszwalb, Huttenlocher - 1998
20	Probabilistic and voting approaches to cue integration for figure ground segmentation - Hayman, Eklundh - 2002
20	Finding the m most probable configurations using loopy belief propagation - Yanover, Weiss - 2004
16	The tractibility of segmentation and scene analysis - Cooper - 1998
15	Object perception, object-directed action, and physical knowledge in infancy - Spelke, Vishton, et al. - 1995
11	Background subtraction using markov thresholds - Migdal, Grimson - 2005
5	Squeezing Theorem - Weisstein - 2009
4	Matlab normalized cuts segmentation code. http://www.seas.upenn. edu/~timothee/software/ncut/ncut.html - Cour, Yu, et al. - 2010