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» Measuring the Self-Consistency of Stereo Algorithms
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ICPR
2006
IEEE
13 years 11 months ago
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
A novel stereo matching algorithm is proposed that utilizes color segmentation on the reference image and a selfadapting matching score that maximizes the number of reliable corre...
Andreas Klaus, Mario Sormann, Konrad F. Karner
ICPR
2000
IEEE
13 years 9 months ago
Maximum Likelihood Stereo Matching
In the research literature, maximum likelihood principles were applied to stereo matching by altering the stereo pair so that the difference would have a Gaussian distribution. He...
Nicu Sebe, Michael S. Lew
ICRA
2005
IEEE
169views Robotics» more  ICRA 2005»
13 years 11 months ago
Absolute Stereo SFM without Stereo Correspondence for Vision Based SLAM
— This paper presents a vision based SLAM method by using stereo SFM technique. The proposed method is based on the stereo SFM presented in our former paper. The method do not ne...
Jae-Hean Kim, Myung Jin Chung
CVPR
2008
IEEE
14 years 7 months ago
Least squares surface reconstruction from measured gradient fields
This paper presents a new method for the reconstruction of a surface from its ? and ? gradient field, measured, for example, via Photometric Stereo. The new algorithm produces the...
Matthew Harker, Paul O'Leary
ICPR
2008
IEEE
13 years 12 months ago
A similarity measure under Log-Euclidean metric for stereo matching
Stereo matching has been one of the most active areas in computer vision for decades. Many methods, ranging from similarity measures to local or global matching cost optimization ...
Quanquan Gu, Jie Zhou