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» An Attentional Framework for Stereo Vision
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CVPR
2007
IEEE
15 years 12 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
ICCV
2007
IEEE
15 years 11 months ago
Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
Most 3D reconstruction solutions focus on surfaces, and there has not been much research attention paid to the problem of reconstructing 3D scenes made up of large numbers of part...
Hao Du, Danping Zou, Yan Qiu Chen
CVPR
2004
IEEE
15 years 12 months ago
Region-Based Progressive Stereo Matching
A novel region-based progressive stereo matching algorithm is presented. It combines the strengthes of previous region-based and progressive approaches. The progressive framework ...
Yichen Wei, Long Quan
ICPR
2008
IEEE
15 years 4 months ago
Stereo matching using random walks
This paper presents a novel two-phase stereo matching algorithm using the random walks framework. At first, a set of reliable matching pixels is extracted with prior matrices de...
Rui Shen, Irene Cheng, Xiaobo Li, Anup Basu
ICCV
2011
IEEE
13 years 9 months ago
Simultaneous Multi-Body Stereo and Segmentation
This paper presents a novel multi-body multi-view stereo method to simultaneously recover dense depth maps and perform segmentation with the input of a monocular image sequence. U...
Guofeng Zhang, Jiaya Jia, Hujun Bao