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» Blur and Contrast Invariant Fast Stereo Matching
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ACIVS
2008
Springer
13 years 11 months ago
Blur and Contrast Invariant Fast Stereo Matching
We propose a novel approach for estimating a depth-map from a pair of rectified stereo images degraded by blur and contrast change. At each location in image space, information is...
Matteo Pedone, Janne Heikkilä
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
13 years 10 months ago
Robust Contrast Invariant Stereo Correspondence
— A stereo pair of cameras attached to a robot will inevitably yield images with different contrast. Even if we assume that the camera hardware is identical, due to slightly diff...
Abhijit S. Ogale, Yiannis Aloimonos
WACV
2007
IEEE
13 years 10 months ago
Stereo Matching and 3D Visualization for Gamma-Ray Cargo Inspection
In this paper, stereo matching and 3D visualization issues are studied for a linear pushbroom stereo model built for 3D gamma-ray (or x-ray) cargo inspection. A fast and automated...
Zhigang Zhu, Yu-Chi Hu
CVPR
2012
IEEE
11 years 7 months ago
Scale resilient, rotation invariant articulated object matching
A novel method is proposed for matching articulated objects in cluttered videos. The method needs only a single exemplar image of the target object. Instead of using a small set o...
Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff
IJCV
2002
256views more  IJCV 2002»
13 years 4 months ago
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maxim...
Changming Sun