中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
PSO-based SIFT false matches elimination for zooming image

文献类型:会议论文

作者Gao HW(高宏伟); Peng, Dai; Niu B(牛奔); Li B(李斌)
出版日期2013
会议名称9th International Conference on Intelligent Computing, ICIC 2013
会议日期July 28-31, 2013
会议地点Nanning, China
关键词Intelligent computing Iterative methods Particle swarm optimization (PSO)
页码641-648
中文摘要According to the numerous false matches of SIFT feature attribution of zooming image, false matches elimination algorithm, combined with geometric constraint of zooming image, is proposed in this paper. It aims to optimize square sum function of distance from point to corresponding polar line and adopt PSO to do iterative optimization that false matches points could be eliminated. The experimental results prove that the proposed algorithm is efficient and stable. © 2013 Springer-Verlag.
收录类别EI
产权排序1
会议主办者IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者Springer Verlag
会议录出版地Heidelberg, Germany
语种英语
ISSN号0302-9743
ISBN号978-3-642-39481-2
源URL[http://ir.sia.cn/handle/173321/12416]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Gao HW,Peng, Dai,Niu B,et al. PSO-based SIFT false matches elimination for zooming image[C]. 见:9th International Conference on Intelligent Computing, ICIC 2013. Nanning, China. July 28-31, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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