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非标定立体图像对鲁棒性校正新算法
引用本文:马永壮,刘伟军.非标定立体图像对鲁棒性校正新算法[J].计算机工程,2006,32(5):26-28.
作者姓名:马永壮  刘伟军
作者单位:1. 中国科学院沈阳自动化研究所二室,沈阳,110016;中国科学院研究生院,北京,100039
2. 中国科学院沈阳自动化研究所二室,沈阳,110016
摘    要:传统的非标定图像校正都是依赖于基础矩阵的精度。而该方法根据图像校正基本准则,提出一种无需高精度基础矩阵的鲁棒性图像对校正算法,基础矩阵只是提供迭代优化的初始数值,并且与需要基础矩阵的方法相比较,结果表明该方法有效地消除垂直视差,能够较好地处理射影畸变问题。

关 键 词:图像校正  基础矩阵  射影畸变
文章编号:1000-3428(2006)05-0026-03
收稿时间:2005-03-07
修稿时间:2005-03-07

A New Robust Rectification Algorithm of Uncalibrated Stereo Pairs
MA Yongzhuang,LIU Weijun.A New Robust Rectification Algorithm of Uncalibrated Stereo Pairs[J].Computer Engineering,2006,32(5):26-28.
Authors:MA Yongzhuang  LIU Weijun
Affiliation:1. Lab 2, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016; 2. Graduate School, Chinese Academy of Sciences, Beijing 100039
Abstract:Traditional uncalibrated image rectification method all depends on highoaccuracy fundamental matrix, while this new method proposes a new robust rectification algorithm of uncalibrated stereo pairs according to image rectification principle and the fundamental matrix only is initial value for iterative optimizing. By the experiment of the new method compared to the other that depends on fundamental matrix, it shows that the method can effectively eliminate vertical disparity and deal with projective distortion very well.
Keywords:Image rectification  Fundamental matrix  Projective distortion
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