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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
DOI10.1007/978-3-030-00563-4_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
专题光学影像学习与分析中心
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.
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