中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust epipolar geometry estimation using genetic algorithm

文献类型:期刊论文

作者Chai, JX; De Ma, S
刊名PATTERN RECOGNITION LETTERS
出版日期1998-07-01
卷号19期号:9页码:829-838
关键词epipolar geometry robust parameter estimation genetic algorithm random sample
英文摘要Epipolar 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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]SCENE
收录类别SCI
语种英语
WOS记录号WOS:000076648900008
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9766]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。