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2010
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15 years 1 months ago
Efficient Stereoscopic Ranging via Stochastic Sampling of Match Quality
We present an efficient method that computes dense stereo correspondences by stochastically sampling match quality values. Nonexhaustive sampling facilitates the use of quality met...
Thayne Richard Coffman, Alan Conrad Bovik
CVPR
2009
IEEE
17 years 1 months ago
Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions
This paper studies a framework for matching an unknown number of corresponding structures in two images (shapes), motivated by detecting objects in cluttered background and lear...
Kun Zeng, Liang Lin, Song Chun Zhu, Xiaobai Liu
CVPR
2005
IEEE
16 years 8 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
CVPR
2007
IEEE
16 years 8 months ago
Keypoint Descriptors for Matching Across Multiple Image Modalities and Non-linear Intensity Variations
In this paper, we investigate the effect of substantial inter-image intensity changes and changes in modality on the performance of keypoint detection, description, and matching a...
Avi Kelman, Michal Sofka, Charles V. Stewart
CVPR
2007
IEEE
16 years 8 months ago
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
Matching local features across images is often useful when comparing or recognizing objects or scenes, and efficient techniques for obtaining image-to-image correspondences have b...
Kristen Grauman, Trevor Darrell