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» An Attentional Framework for Stereo Vision
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HUMO
2007
Springer
14 years 11 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
CVPR
2006
IEEE
15 years 12 months ago
Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation and Occlusion Handling
In this paper, we formulate an algorithm for the stereo matching problem with careful handling of disparity, discontinuity and occlusion. The algorithm works with a global matchin...
Qingxiong Yang, Liang Wang, Ruigang Yang, Henrik S...
ECCV
2004
Springer
15 years 11 months ago
Stereo Using Monocular Cues within the Tensor Voting Framework
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficultie...
Philippos Mordohai, Gérard G. Medioni
ICRA
2009
IEEE
336views Robotics» more  ICRA 2009»
15 years 4 months ago
Planar Catadioptric Stereo: Single and multi-view geometry for calibration and localization
— Planar Catadioptric Stereo vision sensors (PCS) combine a pinhole camera with two or more planar mirrors. PCS have recently received an increasing attention since a stereo view...
Gian Luca Mariottini, Stefano Scheggi, Fabio Morbi...
ICPR
2008
IEEE
15 years 4 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan