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CVPR
2004
IEEE
16 years 9 months ago
Segment-Based Stereo Matching Using Graph Cuts
In this paper, we present a new segment-based stereo matching algorithm using graph cuts. In our approach, the reference image is divided into non-overlapping homogeneous segments...
Li Hong, George Chen
CVPR
2004
IEEE
16 years 9 months ago
Is Bottom-Up Attention Useful for Object Recognition?
A key problem in learning multiple objects from unlabeled images is that it is a priori impossible to tell which part of the image corresponds to each individual object, and which...
Ueli Rutishauser, Dirk Walther, Christof Koch, Pie...
CVPR
2005
IEEE
16 years 9 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
CVPR
2005
IEEE
16 years 9 months ago
Asymmetrical Occlusion Handling Using Graph Cut for Multi-View Stereo
Occlusion is usually modelled in two images symmetrically in previous stereo algorithms which cannot work for multi-view stereo efficiently. In this paper, we present a novel form...
Yichen Wei, Long Quan
CVPR
2007
IEEE
16 years 9 months ago
Two-View Motion Segmentation from Linear Programming Relaxation
This paper studies the problem of multibody motion segmentation, which is an important, but challenging problem due to its well-known chicken-and-egg-type recursive character. We ...
Hongdong Li