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A simple rectification method for linear multi-baseline stereovision system
引用本文:杜歆,李宏东,顾伟康. A simple rectification method for linear multi-baseline stereovision system[J]. Journal of Zhejiang University. Science. B, 2004, 0(5)
作者姓名:杜歆  李宏东  顾伟康
作者单位:Department of Information and Electronics,Zhejiang University,Hangzhou 310027,China,Department of Information and Electronics,Zhejiang University,Hangzhou 310027,China,Department of Information and Electronics,Zhejiang University,Hangzhou 310027,China
基金项目:Project(No.60105003) supported by the National Natural Sci-ence Foundation of China
摘    要:INTRODUCTION Stereo rectification is a crucial processing forany practical stereovision system; and is aimedtransform images so that the conjugate epipolarlines are aligned horizontally and in parallel. Variedand numerous rectification algorithms have beengiven in literature (Ayache and Lustman, 1991;Fusiello et al., 2000; Hartley, 1999; Robert et al.,1995; Mulligan and Kaniilidis, 2000; Isgro andTrucco, 1999). Most of them involve applying ahomography transformation for that purpose. …


A simple rectification method for linear multi-baseline stereovision system
DU Xin,LI Hong-dong,GU Wei-kang. A simple rectification method for linear multi-baseline stereovision system[J]. Journal of Zhejiang University. Science. B, 2004, 0(5)
Authors:DU Xin  LI Hong-dong  GU Wei-kang
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.
Keywords:Rectification  Multi-baseline  Stereovision
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