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» Search Space Reduction for MRF Stereo
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ECCV
2008
Springer
14 years 8 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 7 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 2 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 8 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 10 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