Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo
	Zhou, Huiyu 1; Li, Xuelong 2; Sadka, Abdul H.3
刊名	ieee transactions on multimedia
	2012-02-01
卷号	14 期号:1 页码:168-177
关键词	Markov chain Monte Carlo nonrigid structure from motion uncalibrated
ISSN号	1520-9210
产权排序	2
合作状况	国际
中文摘要	in this paper we present a new method for simultaneously determining 3-d shape and motion of a nonrigid object from uncalibrated 2-d images without assuming the distribution characteristics. a nonrigid motion can be treated as a combination of a rigid rotation and a nonrigid deformation. to seek accurate recovery of deformable structures, we estimate the probability distribution function of the corresponding features through random sampling, incorporating an established probabilistic model. the fitting between the observation and the projection of the estimated 3-d structure will be evaluated using a markov chain monte carlo based expectation maximization algorithm. applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.
英文摘要	in this paper we present a new method for simultaneously determining 3-d shape and motion of a nonrigid object from uncalibrated 2-d images without assuming the distribution characteristics. a nonrigid motion can be treated as a combination of a rigid rotation and a nonrigid deformation. to seek accurate recovery of deformable structures, we estimate the probability distribution function of the corresponding features through random sampling, incorporating an established probabilistic model. the fitting between the observation and the projection of the estimated 3-d structure will be evaluated using a markov chain monte carlo based expectation maximization algorithm. applications of the proposed method to both synthetic and real image sequences are demonstrated with promising results.
学科主题	computer science ; information systems ; computer science ; software engineering ; telecommunications
WOS标题词	science & technology ; technology
类目[WOS]	computer science, information systems ; computer science, software engineering ; telecommunications
研究领域[WOS]	computer science ; telecommunications
关键词[WOS]	shape ; algorithm ; tracking ; recovery ; likelihood ; streams ; models ; mcmc ; em
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000302701100016
公开日期	2012-09-03
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/20266]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	1.Queens Univ Belfast, ECIT, Belfast BT3 9DT, Antrim, North Ireland 2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England
推荐引用方式 GB/T 7714	Zhou, Huiyu,Li, Xuelong,Sadka, Abdul H.. Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo[J]. ieee transactions on multimedia,2012,14(1):168-177.
APA	Zhou, Huiyu,Li, Xuelong,&Sadka, Abdul H..(2012).Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo.ieee transactions on multimedia,14(1),168-177.
MLA	Zhou, Huiyu,et al."Nonrigid Structure-From-Motion From 2-D Images Using Markov Chain Monte Carlo".ieee transactions on multimedia 14.1(2012):168-177.