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» Stereo Matching as a Nearest-Neighbor Problem
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BCS
2008
15 years 4 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
15 years 9 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
16 years 4 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
15 years 6 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
15 years 3 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...