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» A new stereo matching algorithm for binocular vision
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ECCV
2000
Springer
15 years 4 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
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
15 years 5 months ago
Self-positioning with an omni-directional stereo system
— This paper presents a self-positioning system for the mobile robot. The proposed positioning system consists of a stereo setup of two ODVs (Omni-Directional Vision) for obtaini...
Jyun-ichi Eino, Toshinobu Takashi, Jun-ichi Takigu...
CVPR
2000
IEEE
16 years 1 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
ICCV
2007
IEEE
16 years 1 months ago
Evaluation of Large Scale Scene Reconstruction
We present an evaluation methodology and data for large scale video-based 3D reconstruction. We evaluate the effects of several parameters and draw conclusions that can be useful ...
Paul Merrell, Philippos Mordohai, Jan-Michael Frah...
PRL
2002
128views more  PRL 2002»
14 years 11 months ago
Dynamic flies: a new pattern recognition tool applied to stereo sequence processing
The "fly algorithm" is a fast artificial evolution-based technique devised for the exploration of parameter space in pattern recognition applications. In the application...
Jean Louchet, Maud Guyon, Marie-Jeanne Lesot, Amin...