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» A probabilistic framework for image segmentation
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ICIP
2010
IEEE
13 years 5 months ago
Anisotropic diffusion using power watersheds
Many computer vision applications such as image filtering, segmentation and stereo-vision can be formulated as optimization problems.Whereas in previous decades continuousdomain, ...
Camille Couprie, Leo J. Grady, Laurent Najman, Hug...
IJCV
2006
100views more  IJCV 2006»
13 years 7 months ago
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach
Abstract. Over the past few years researchers have been investigating the enhancement of visual tracking performance by devising trackers that simultaneously make use of several di...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
HLK
2003
IEEE
14 years 1 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CVPR
2011
IEEE
13 years 3 months ago
Collaborative Personalization of Image Enhancement
While most existing enhancement tools for photographs have universal auto-enhancement functionality, recent research [8] shows that users can have personalized preferences. In thi...
Juan Caicedo, Ashish Kapoor, Sing Bing Kang