Background of shape contexts for point matching
Qian, Deheng1; Chen, Tianshi2,3; Qiao, Hong3,4
AbstractPoint 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.
KeywordPoint Matching Shape Context Local Feature
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Funding OrganizationStrategic Priority Research Program, Chinese Academy of Sciences(XDB02080003) ; BMST(D16110400140000 ; National Natrual Science Fundation of China(61522211 ; D161100001416001) ; 61473275)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000390660900017
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Document Type期刊论文
Corresponding AuthorQiao, Hong
Affiliation1.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
Recommended Citation
GB/T 7714
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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