A game-theoretic approach to sub-vertex registration

doi:10.1016/j.patrec.2016.06.007

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	A game-theoretic approach to sub-vertex registration
	Wang, Rong1,2 ; Geng, Zheng1 ; Cao, Xuan1,2 ; Pei, Renjing1,2 ; Meng, Xiangbing1,2 ; Wang Rong
发表期刊	PATTERN RECOGNITION LETTERS
	2016-09-01
卷号	80 期号:0 页码:98-106
文章类型	Article
摘要	Surface registration is a fundamental technique in computer vision. Typically, it consists of two basic steps: a coarse registration, followed by a fine registration. A novel game-theoretic matching (GTM) algorithm was proposed recently to directly obtain a fine surface registration in a single step. The main idea of GTM is to cast the selection of point correspondences in an evolutionary game framework. However, GTM fails easily due to the lack of correct correspondences if model surface is in low resolution. To tackle this problem, in this paper, we propose a game-theoretic approach to establish sub-vertex correspondences. A new way to construct the payoff function to solve one-to-many matches is introduced. The weight population after evolving from replicator dynamics is used to compute the corresponding sub-vertex. The effectiveness of our proposed method is verified by extensive experiments. Though comparing with GTM and state-of-the-art Super4PCS, our method is accurate, efficient and especially robust in extreme situations of high noise and low resolutions. Finally, the sensitivity and the limitations of our method are discussed. (C) 2016 Elsevier B.V. All rights reserved.
关键词	Rigid Surface Registration Evolutionary Game Theory Sub-vertex Correspondence High Noise Low Resolution
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.patrec.2016.06.007
关键词[WOS]	3D OBJECT RECOGNITION ; CLUTTERED SCENES ; SURFACE ; POINT
收录类别	SCI
语种	英语
项目资助者	National High-tech R&D Program of Institute of Automation, Chinese Academy of Sciences(2012AA011903 ; 2015AA015905)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000382312200015
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12657
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Wang Rong
作者单位	1.Chinese Acad Sci, Inst Automat, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wang, Rong,Geng, Zheng,Cao, Xuan,et al. A game-theoretic approach to sub-vertex registration[J]. PATTERN RECOGNITION LETTERS,2016,80(0):98-106.
APA	Wang, Rong,Geng, Zheng,Cao, Xuan,Pei, Renjing,Meng, Xiangbing,&Wang Rong.(2016).A game-theoretic approach to sub-vertex registration.PATTERN RECOGNITION LETTERS,80(0),98-106.
MLA	Wang, Rong,et al."A game-theoretic approach to sub-vertex registration".PATTERN RECOGNITION LETTERS 80.0(2016):98-106.

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