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» Search Space Reduction for MRF Stereo
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ECCV
2008
Springer
14 years 6 months ago
Search Space Reduction for MRF Stereo
We present an algorithm to reduce per-pixel search ranges for Markov Random Fields-based stereo algorithms. Our algorithm is based on the intuitions that reliably matched pixels ne...
Liang Wang, Hailin Jin, Ruigang Yang
VMV
2001
135views Visualization» more  VMV 2001»
13 years 6 months ago
Search Space Reduction in the Edge Based Stereo Correspondence
Usually, the stereo correspondence for a feature point in the first image is obtained by searching in a predefined region of the second image, based on the epipolar line and the m...
Payman Moallem, Karim Faez
CVPR
2011
IEEE
13 years 1 months ago
Inference for Order Reduction in Markov Random Fields
This paper presents an algorithm for order reduction of factors in High-Order Markov Random Fields (HOMRFs). Standard techniques for transforming arbitrary high-order factors in...
Andrew C. Gallagher, Dhruv Batra, Devi Parikh
ECCV
2008
Springer
14 years 6 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICASSP
2011
IEEE
12 years 8 months ago
Joint disparity and optical flow by correspondence growing
The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of image...
Jan Cech, Radu Horaud