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» Stereo Matching Using Belief Propagation
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ECCV
2008
Springer
14 years 10 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
ICRA
2002
IEEE
140views Robotics» more  ICRA 2002»
14 years 1 months ago
Using Multiple Disparity Hypotheses for Improved Indoor Stereo
This paper describes the design and implementation of an algorithm for improving the performance of stereo vision in environments presenting repetitive patterns or regions with re...
Cristian Dima, Simon Lacroix
ICIP
2010
IEEE
13 years 6 months ago
Multimodal template matching based on gradient and mutual information using scale-space
This paper presents the combined use of gradient and mutual information for infrared and intensity templates matching. We propose to joint: (i) feature matching in a multiresoluti...
Fernando Barrera, Felipe Lumbreras, Angel Domingo ...
CVPR
2008
IEEE
14 years 10 months ago
Fusion of time-of-flight depth and stereo for high accuracy depth maps
Time-of-flight range sensors have error characteristics which are complementary to passive stereo. They provide real time depth estimates in conditions where passive stereo does n...
Jiejie Zhu, Liang Wang, Ruigang Yang, James Davis
ICPR
2008
IEEE
14 years 3 months ago
Combining shape-from-shading and stereo using Gaussian-Markov random fields
In this paper we present a method of combining stereo and shape-from-shading information, taking account of the local reliability of each shape estimate. Local estimates of dispar...
Tom S. F. Haines, Richard C. Wilson