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Feature Fusion Information Statistics for feature matching in cluttered scenes
Zhou, Wei1; Ma, Caiwen2; Liao, Shenghui6; Shi, Jinjing6; Yao, Tong2,3; Chang, Peng4; Kuijper, Arjan5
作者部门光电测量技术实验室
2018-12
发表期刊Computers and Graphics (Pergamon)
ISSN00978493
卷号77页码:50-64
产权排序2
摘要Object recognizing in cluttered scenes remains a largely unsolved problem, especially when applying feature matching to cluttered scenes there are many feature mismatches between the scenes and models. We propose our Feature Fusion Information Statistics (FFIS) as the calculation framework for extracting salient information from a Local Surface Patch (LSP) by a Local Reference Frame (LRF). Our LRF is defined on each LSP by projecting the scatter matrix's eigenvectors to a plane which is perpendicular to the normal of the LSP. Based on this, our FFIS descriptor of each LSP is calculated, for which we use the combined distribution of mesh and point information in a local domain. Finally, we evaluate the speed, robustness and descriptiveness of our FFIS with the state-of-the-art methods on several public benchmarks. Our experiments show that our FFIS is fast and obtains a more reliable matching rate than other approaches in cluttered situations. © 2018 Elsevier Ltd
DOI10.1016/j.cag.2018.09.012
收录类别EI
语种英语
EI入藏号20184205947119
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30680
专题光电测量技术实验室
通讯作者Zhou, Wei
作者单位1.Multimedia Research Center, Shenzhen Institutes of Advanced Technology of CAS, 1068 Xueyuan Avenue, Shenzhen; 518055, China;
2.Xi'an Institute of Optics and Precision Mechanics of CAS, No.17 Xinxi Road, Xi'an; 7101199, China;
3.University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing; 100049, China;
4.Northeastern University, 360 Huntington Ave., Boston; 02115, United States;
5.Fraunhofer IGD & TU Darmstadt, Fraunhoferstrasse 5, Darmstadt; 64283, Germany;
6.School of Information Science & Engineering, Central South University, Changsha; 410083, China
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GB/T 7714
Zhou, Wei,Ma, Caiwen,Liao, Shenghui,et al. Feature Fusion Information Statistics for feature matching in cluttered scenes[J]. Computers and Graphics (Pergamon),2018,77:50-64.
APA Zhou, Wei.,Ma, Caiwen.,Liao, Shenghui.,Shi, Jinjing.,Yao, Tong.,...&Kuijper, Arjan.(2018).Feature Fusion Information Statistics for feature matching in cluttered scenes.Computers and Graphics (Pergamon),77,50-64.
MLA Zhou, Wei,et al."Feature Fusion Information Statistics for feature matching in cluttered scenes".Computers and Graphics (Pergamon) 77(2018):50-64.
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