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CLC number: TP391.41
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 1
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A simple rectification method for linear multi-baseline stereovision system
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DU Xin, LI Hong-dong, GU Wei-kang. A simple rectification method for linear multi-baseline stereovision system[J]. Journal of Zhejiang University Science A, 2004, 5(5): 567-571.
@article{title="A simple rectification method for linear multi-baseline stereovision system",
author="DU Xin, LI Hong-dong, GU Wei-kang",
journal="Journal of Zhejiang University Science A",
volume="5",
number="5",
pages="567-571",
year="2004",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2004.0567"
}
%0 Journal Article
%T A simple rectification method for linear multi-baseline stereovision system
%A DU Xin
%A LI Hong-dong
%A GU Wei-kang
%J Journal of Zhejiang University SCIENCE A
%V 5
%N 5
%P 567-571
%@ 1869-1951
%D 2004
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2004.0567
TY - JOUR
T1 - A simple rectification method for linear multi-baseline stereovision system
A1 - DU Xin
A1 - LI Hong-dong
A1 - GU Wei-kang
J0 - Journal of Zhejiang University Science A
VL - 5
IS - 5
SP - 567
EP - 571
%@ 1869-1951
Y1 - 2004
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2004.0567
Abstract: The linear multi-baseline stereo system introduced by the CMU-RI group has been proven to be a very effective and robust stereovision system. However, most traditional stereo rectification algorithms are all designed for binocular stereovision system, and so, cannot be applied to a linear multi-baseline system. This paper presents a simple and intuitional method that can simultaneously rectify all the cameras in a linear multi-baseline system. Instead of using the general 8-parameter homography transform, a two-step virtual rotation method is applied for rectification, which results in a more specific transform that has only 3 parameters, and more stability. Experimental results for real stereo images showed the presented method is efficient.
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