Paper
20 September 2001 Grid-code-based fast matching method in active binocular vision
Mingzhou Chen, Zhong Wang, Xinyu Kou, Shenghua Ye
Author Affiliations +
Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441534
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
Binocular machine vision has been explored for so many years, but the most difficult problem and the obstacle of the system processing is the matching procedure. This thesis will give a new technique to obtain matching points of the left and right image in the binocular active vision system, without searching the whole image, or even the whole feature curve. So the time-consumed computation is reduced considerably. And the mismatching errors are reduced too. In this technique, except the epipolar constraints, we add two strong constraints into the system: Adherent-Mark, Grid (row and column). Using a new method of Grid-Coding, matching point is easy to be found.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingzhou Chen, Zhong Wang, Xinyu Kou, and Shenghua Ye "Grid-code-based fast matching method in active binocular vision", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441534
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KEYWORDS
Cameras

CCD cameras

3D image processing

Imaging systems

Machine vision

Ytterbium

Fluctuations and noise

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