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Robust epipolar geometry estimation using genetic algorithm
Chai, JX; De Ma, S
Source PublicationPATTERN RECOGNITION LETTERS
1998-07-01
Volume19Issue:9Pages:829-838
SubtypeArticle
AbstractEpipolar geometry is an important constraint to establish the correspondences in stereo vision. The 3 x 3 fundamental matrix describes the epipolar geometry between two uncalibrated images. In this paper, we formulate the epipolar geometry estimation as a global optimization problem, and then we present a genetic algorithm for parameter searching. Experiments with simulated and real data show that our algorithm performs very well in terms of robustness to outliers, rate of convergence and quality of the final estimation. (C) 1998 Published by Elsevier Science B.V. All rights reserved.
KeywordEpipolar Geometry Robust Parameter Estimation Genetic Algorithm Random Sample
WOS HeadingsScience & Technology ; Technology
WOS KeywordSCENE
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000076648900008
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9766
Collection09年以前成果
AffiliationChinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Chai, JX,De Ma, S. Robust epipolar geometry estimation using genetic algorithm[J]. PATTERN RECOGNITION LETTERS,1998,19(9):829-838.
APA Chai, JX,&De Ma, S.(1998).Robust epipolar geometry estimation using genetic algorithm.PATTERN RECOGNITION LETTERS,19(9),829-838.
MLA Chai, JX,et al."Robust epipolar geometry estimation using genetic algorithm".PATTERN RECOGNITION LETTERS 19.9(1998):829-838.
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