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» Introduction to Randomized Algorithms
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ICCV
2005
IEEE
16 years 5 months ago
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
Talya Meltzer, Chen Yanover, Yair Weiss
149
Voted
ECCV
2008
Springer
16 years 5 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
ECCV
2004
Springer
16 years 5 months ago
Local Orientation Smoothness Prior for Vascular Segmentation of Angiography
Abstract. We present a new generic method for vascular segmentation of angiography. Angiography is used for the medical diagnosis of arterial diseases. To facilitate an effective a...
Wilbur C. K. Wong, Albert C. S. Chung, Simon C. H....
ECCV
2006
Springer
16 years 5 months ago
Generalized Multi-sensor Planning
Abstract. Vision systems for various tasks are increasingly being deployed. Although significant effort has gone into improving the algorithms for such tasks, there has been relati...
Anurag Mittal
ECCV
2002
Springer
16 years 5 months ago
Finding the Largest Unambiguous Component of Stereo Matching
Abstract. Stereo matching is an ill-posed problem for at least two principal reasons: (1) because of the random nature of match similarity measure and (2) because of structural amb...
Radim Sára