Fuzzy correspondences guided Gaussian mixture model for point set registration

doi:10.1016/j.knosys.2017.09.016

CORC > 上海财经大学 > 上海财经大学

	Fuzzy correspondences guided Gaussian mixture model for point set registration
	Wang, Gang 1,2; Chen, Yufei 3
刊名	KNOWLEDGE-BASED SYSTEMS
	2017-11-15
卷号	136 页码:200-209
关键词	Point matching Point set registration Fuzzy correspondences Mixture model Kernel method
ISSN号	0950-7051
DOI	10.1016/j.knosys.2017.09.016
英文摘要	Recovering correspondences and estimating transformations are challenging to solve in the presence of outliers and other degradations for non-rigid point set registration. In this paper, we propose a new methodology based on fuzzy correspondences guided Gaussian Mixture Model (GMM) to solve the registration problem between two or more feature point sets. We first construct a mixture model to represent the moving point set, where inliers are formulated as a mixture of Gaussian, and outliers are formulated as an additional uniform distribution. Then we use the context-aware shape descriptor to assign the points and obtain the fuzzy correspondences. On the one hand, the soft-assignment is used to classify the weight of inliers and outliers. On the other hand, by using the fuzzy correspondences, the Gaussian elements in the mixture model can be estimated to increase the registration accuracy efficiently. In this way, the optimal transformation between two point sets can be expressed by representation theorem and solved by EM algorithm iteratively in a high-dimensional feature space (i.e., reproducing kernel Hilbert space, RKHS). Extensive experiments on synthesized and real datasets demonstrate the proposed method performs favorably against the state-of-the-art methods in most tested scenarios. (C) 2017 Elsevier B.V. All rights reserved.
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000413386100018
内容类型	期刊论文
源URL	[http://10.2.47.112/handle/2XS4QKH4/842]
专题	上海财经大学
通讯作者	Wang, Gang
作者单位	1.Shanghai Univ Finance & Econ, Inst Data Sci & Stat, Shanghai 200433, Peoples R China; 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China; 3.Tongji Univ, Coll Elect & Informat Engn, Shanghai 201804, Peoples R China
推荐引用方式 GB/T 7714	Wang, Gang,Chen, Yufei. Fuzzy correspondences guided Gaussian mixture model for point set registration[J]. KNOWLEDGE-BASED SYSTEMS,2017,136:200-209.
APA	Wang, Gang,&Chen, Yufei.(2017).Fuzzy correspondences guided Gaussian mixture model for point set registration.KNOWLEDGE-BASED SYSTEMS,136,200-209.
MLA	Wang, Gang,et al."Fuzzy correspondences guided Gaussian mixture model for point set registration".KNOWLEDGE-BASED SYSTEMS 136(2017):200-209.