PSO-based SIFT false matches elimination for zooming image
文献类型:会议论文
作者 | Gao HW(高宏伟)![]() ![]() |
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)
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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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