Background of shape contexts for point matching
Qian, Deheng1; Chen, Tianshi2,3; Qiao, Hong3,4
2016-12-01
发表期刊PATTERN RECOGNITION LETTERS
卷号84期号:页码:114-119
文章类型Article
摘要Point matching seeks the optimal correspondences between two sets of points. It is often tackled via assigning each point a set of features and minimizing the dissimilarities of corresponded features. In this process, a kind of widely applied features is the Shape Contexts (SC). Given a reference point, SC exploits the relative positions between this point and the remaining points. However, SC omits the relative positions among the remaining points, which limits its distinctiveness. In this paper, we propose a new kind of features, called the Background of Shape Contexts (BSC), which encodes not only these relative positions between the reference point and the remaining points, but also those among the remaining points. The BSC concisely presents the relative positions among feature points by edges among the points. The distribution of edges is then calculated in a Coordinate-Gradient Space (CGS). The CGS is a combination of a gradient space and a Euclidean space which can be 2D or 3D. Finally, the BSC exploits histograms to capture the distribution of edges in the CGS. We evaluate the BSC on multiple matching experiments over widely used datasets and demonstrate the effectiveness of the BSC. (C) 2016 Elsevier B. V. All rights reserved.
关键词Point Matching Shape Context Local Feature
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patrec.2016.07.016
关键词[WOS]PATTERN-RECOGNITION ; EM ALGORITHM ; GRAPH ; DISTANCE ; COMPUTATION ; CONSTRAINTS ; HISTOGRAMS
收录类别SCI
语种英语
项目资助者Strategic Priority Research Program, Chinese Academy of Sciences(XDB02080003) ; BMST(D16110400140000 ; National Natrual Science Fundation of China(61522211 ; D161100001416001) ; 61473275)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000390660900017
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12614
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Qiao, Hong
作者单位1.Samsung Res Inst China Beijing SRC B, Beijing 100028, Peoples R China
2.Chinese Acad Sci, State Key Lab Comp Architecture, Inst Comp Technol, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
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Qian, Deheng,Chen, Tianshi,Qiao, Hong. Background of shape contexts for point matching[J]. PATTERN RECOGNITION LETTERS,2016,84(无):114-119.
APA Qian, Deheng,Chen, Tianshi,&Qiao, Hong.(2016).Background of shape contexts for point matching.PATTERN RECOGNITION LETTERS,84(无),114-119.
MLA Qian, Deheng,et al."Background of shape contexts for point matching".PATTERN RECOGNITION LETTERS 84.无(2016):114-119.
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