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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
DAGM
2011
Springer
12 years 5 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
BMVC
2002
13 years 7 months ago
Maximum Likelihood 3D Reconstruction from One or More Images under Geometric Constraints
We address the 3D reconstruction of scenes in which some planarity, collinearity, symmetry and other geometric properties are known
Etienne Grossmann, José Santos-Victor
DAGM
2004
Springer
13 years 10 months ago
A Probabilistic Framework for Robust and Accurate Matching of Point Clouds
We present a probabilistic framework for matching of point clouds. Variants of the ICP algorithm typically pair points to points or points to lines. Instead, we pair data points to...
Peter Biber, Sven Fleck, Wolfgang Straßer