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» Measuring the Self-Consistency of Stereo Algorithms
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ECCV
2000
Springer
13 years 9 months ago
Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
ISVC
2009
Springer
13 years 11 months ago
Measurement of Pedestrian Groups Using Subtraction Stereo
In this paper, detection of pedestrian groups and counting of the number of pedestrians in each group using “subtraction stereo” are discussed. Subtraction stereo is a stereo v...
Kenji Terabayashi, Yuki Hashimoto, Kazunori Umeda
PAMI
2011
12 years 11 months ago
Robust Stereo Matching Using Adaptive Normalized Cross-Correlation
—A majority of the existing stereo matching algorithms assume that the corresponding color values are similar to each other. However, it is not so in practice as image color valu...
Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
WACV
2007
IEEE
13 years 11 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
ICCV
2009
IEEE
14 years 9 months ago
The Self-Aware Matching Measure for Stereo
We revisit stereo matching functions, a topic that is considered well understood, from a different angle. Our goal is to discover a transformation that operates on the cost or s...
Philippos Mordohai