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A Study on the Planar Rectification of Self-Calibrated Stereo Images

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Abstract
In this paper, we study a planar rectification technique that takes perspective projection matrices obtained by self-calibration. The self-calibration takes a nonlinear estimation called the Levenberg-Marquardt method on constraints imposed by the fundamental matrix to estimate the projection matrices. The rectification technique determines new perspective projection matrices by solving four ^(3x4)linear homogeneous systems obtained from rectifying plane constraints. This paper shows experimental results obtained by applying the technique to controlled stereo data and real stereo images. We make the comparison based on the average vertical coordinate difference of the rectified stereo image pair.
In this paper, we study a planar rectification technique that takes perspective projection matrices obtained by self-calibration. The self-calibration takes a nonlinear estimation called the Levenberg-Marquardt method on constraints imposed by the fundamental matrix to estimate the projection matrices. The rectification technique determines new perspective projection matrices by solving four ^(3x4)linear homogeneous systems obtained from rectifying plane constraints. This paper shows experimental results obtained by applying the technique to controlled stereo data and real stereo images. We make the comparison based on the average vertical coordinate difference of the rectified stereo image pair.
Author(s)
Lee, Jong SooOh, Paul Y.
Issued Date
2003
Type
Research Laboratory
URI
https://oak.ulsan.ac.kr/handle/2021.oak/4064
http://ulsan.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002025219
Publisher
공학연구논문집
Language
eng
Rights
울산대학교 저작물은 저작권에 의해 보호받습니다.
Citation Volume
34
Citation Number
1
Citation Start Page
27
Citation End Page
40
Appears in Collections:
Research Laboratory > Engineering Research
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