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» Stereo Matching as a Nearest-Neighbor Problem
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BCS
2008
13 years 10 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
SIBGRAPI
2008
IEEE
14 years 3 months ago
Matching Photometric Observation Vectors with Shadows and Variable Albedo
We describe a procedure to solve the basic problem of Variable Lighting Photometric Stereo – namely, recovering the normal directions and intrinsic albedos at all visible points...
Helena Cristina da Gama Leitão, Rafael Feli...
ICPR
2002
IEEE
14 years 9 months ago
Perceptual Grouping for Multiple View Stereo Using Tensor Voting
* We address the problem of multiple view stereo from a perceptual organization perspective. Currently, the leading methods in the field are volumetric. They operate at the level o...
Gérard G. Medioni, Philippos Mordohai
CVPR
2010
IEEE
13 years 12 months ago
Bundled Depth-Map Merging for Multi-View Stereo
Depth-map merging is one typical technique category for multi-view stereo (MVS) reconstruction. To guarantee accuracy, existing algorithms usually require either sub-pixel level s...
Jianguo Li
ALIFE
2006
13 years 8 months ago
The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Correspondence
We present a new bio-inspired approach applied to a problem of stereo image matching. This approach is based on an artificial epidemic process, which we call the infection algorith...
Gustavo Olague, Francisco Fernández, Cynthi...