A Regenerated Feature Extraction Method for Cross-modal Image Registration | |
Yang, Jian1; Wang, Qi1,2; Li, Xuelong3 | |
2018 | |
会议名称 | 9th International Conference on Brain-Inspired Cognitive Systems, BICS 2018 |
会议录名称 | Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Proceedings |
卷号 | 10989 LNAI |
页码 | 441-451 |
会议日期 | 2018-07-07 |
会议地点 | Xi'an, China |
出版者 | Springer Verlag |
产权排序 | 3 |
摘要 | Cross-modal image registration is an intractable problem in computer vision and pattern recognition. Inspired by that human gradually deepen to learn in the cognitive process, we present a novel method to automatically register images with different modes in this paper. Unlike most existing registrations that align images by single type of features or directly using multiple features, we employ the “regenerated” mechanism cooperated with a dynamic routing to adaptively detect features and match for different modal images. The geometry-based maximally stable extremal regions (MSER) are first implemented to fast detect non-overlapping regions as the primitive of feature regeneration, which are used to generate novel control-points using salient image disks (SIDs) operator embedded by a sub-pixel iteration. Then a dynamic routing is proposed to select suitable features and match images. Experimental results on optical and multi-sensor images show that our method has a better accuracy compared to state-of-the-art approaches. © 2018, Springer Nature Switzerland AG. |
作者部门 | 光学影像学习与分析中心 |
DOI | 10.1007/978-3-030-00563-4_43 |
收录类别 | EI |
ISBN号 | 9783030005627 |
语种 | 英语 |
ISSN号 | 03029743;16113349 |
EI入藏号 | 20184305979099 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30687 |
专题 | 光谱成像技术研究室 |
通讯作者 | Wang, Qi |
作者单位 | 1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an; Shaanxi; 710072, China; 2.Unmanned System Research Institute (USRI), Northwestern Polytechnical University, Xi’an; Shaanxi; 710072, China; 3.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi’an; Shaanxi; 710119, China |
推荐引用方式 GB/T 7714 | Yang, Jian,Wang, Qi,Li, Xuelong. A Regenerated Feature Extraction Method for Cross-modal Image Registration[C]:Springer Verlag,2018:441-451. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Regenerated Featur(3195KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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