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» Measuring the Self-Consistency of Stereo Algorithms
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CVPR
2006
IEEE
14 years 9 months ago
Reconstructing Occluded Surfaces Using Synthetic Apertures: Stereo, Focus and Robust Measures
Most algorithms for 3D reconstruction from images use cost functions based on SSD, which assume that the surfaces being reconstructed are visible to all cameras. This makes it dif...
Vaibhav Vaish, Marc Levoy, Richard Szeliski, C. La...
CVPR
2007
IEEE
14 years 9 months ago
Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit
Over the past decade, tremendous amount of research activity has focused around the problem of localization in GPS denied environments. Challenges with localization are highlighte...
Taragay Oskiper, Zhiwei Zhu, Supun Samarasekera, R...
ICIAP
2005
ACM
14 years 7 months ago
Optimal Parameter Estimation for MRF Stereo Matching
Abstract. This paper presents an optimisation technique to select automatically a set of control parameters for a Markov Random Field applied to stereo matching. The method is base...
Riccardo Gherardi, Umberto Castellani, Andrea Fusi...
MVA
1998
230views Computer Vision» more  MVA 1998»
13 years 8 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...
ICRA
2003
IEEE
130views Robotics» more  ICRA 2003»
14 years 22 days ago
Direct plane tracking in stereo images for mobile navigation
— We present a novel plane tracking algorithm based on the direct update of surface parameters from two stereo images. The plane tracking algorithm is posed as an optimization pr...
Jason J. Corso, Darius Burschka, Gregory D. Hager