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» Maximum-Likelihood Image Matching
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138
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CVPR
2006
IEEE
16 years 6 months ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
IMAGING
2004
15 years 5 months ago
Color Matching with Amplitude Not Left Out
Amplitude for color mixing is different from other amplitudes such as loudness. Color amplitude must refer to a light's ability to look different from other lights, to expres...
James A. Worthey
142
Voted
CVPR
2003
IEEE
16 years 6 months ago
Representation and Detection of Deformable Shapes
We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite...
Pedro F. Felzenszwalb
MVA
2002
119views Computer Vision» more  MVA 2002»
15 years 3 months ago
A Cooperative Method of SFM and Stereo for Motion and Depth Extraction
Stereo is a useful technique for obtaining depth information from images. However, it is required that the baseline length between two cameras should be large to increase depth pr...
Jae-Hean Kim, Myung Jin Chung
134
Voted
ICIP
2007
IEEE
16 years 5 months ago
On 3D Partial Matching of Meaningful Parts
In this paper a method suitable for partial matching between 3D objects is presented. The 3D objects are firstly segmented into meaningful parts extending a method which is based ...
Athanasios Mademlis, Petros Daras, Dimitrios Tzova...