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15 years 9 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
15 years 4 months ago
(De) Focusing on Global Light Transport for Active Scene Recovery
Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-refl...
Li Zhang, Mohit Gupta, Srinivasa G. Narasimhan, Yu...
CVPR
2003
IEEE
15 years 12 days ago
Spacetime Stereo: Shape Recovery for Dynamic Scenes
This paper extends the traditional binocular stereo problem into the spacetime domain, in which a pair of video streams is matched simultaneously instead of matching pairs of imag...
Li Zhang, Brian Curless, Steven M. Seitz
CVPR
2005
IEEE
15 years 12 days ago
Accurate Motion Layer Segmentation and Matting
Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present ...
Jiangjian Xiao, Mubarak Shah
CVPR
2007
IEEE
15 years 12 days ago
Statistics of Infrared Images
The proliferation of low-cost infrared cameras gives us a new angle for attacking many unsolved vision problems by leveraging a larger range of the electromagnetic spectrum. A fir...
Nigel J. W. Morris, Shai Avidan, Wojciech Matusik,...