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» Graph-Theoretical Methods in Computer Vision
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210
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ICCV
1998
IEEE
16 years 8 months ago
Design of Multi-Parameter Steerable Functions Using Cascade Basis Reduction
A new cascade basis reduction method of computing the optimal least-squares set of basis functions to steer a given function locally is presented. The method combines the Lie grou...
Patrick C. Teo, Yacov Hel-Or
CVPR
2005
IEEE
16 years 8 months ago
Locally Adaptive Support-Weight Approach for Visual Correspondence Search
In this paper, we present a new area-based method for visual correspondence search that focuses on the dissimilarity computation. Local and area-based matching methods generally m...
Kuk-Jin Yoon, In-So Kweon
190
Voted
CVPR
2003
IEEE
16 years 8 months ago
Extracting Dense Features for Visual Correspondence with Graph Cuts
We present a method for extracting dense features from stereo and motion sequences. Our dense feature is defined symmetrically with respect to both images, and it is extracted dur...
Olga Veksler
ICPR
2008
IEEE
16 years 1 months ago
Model-based visual self-localization using geometry and graphs
In this paper, a geometric approach for global selflocalization based on a world-model and active stereo vision is introduced. The method uses class specific object recognition a...
David Israel Gonzalez-Aguirre, Tamim Asfour, Eduar...
ICPR
2010
IEEE
15 years 10 months ago
Accurate Dense Stereo by Constraining Local Consistency on Superpixels
Segmentation is a low-level vision cue often deployed by stereo algorithms to assume that disparity within superpixels varies smoothly. In this paper, we show that constraining, o...
Stefano Mattoccia