Point sets non-rigid registration using student's-t mixture model with spatial constraints

	Point sets non-rigid registration using student's-t mixture model with spatial constraints
	Zhou Z.-Y.; Li L.-H.; Zheng J.; Kuai D.-J.; Hu S.; Zhang T.
	2014
发表期刊	Zidonghua Xuebao/Acta Automatica Sinica
ISSN	ISBN/02544156
卷号	40 期号:4 页码:683-696
摘要	A robust non-rigid registration framework using the student's-t mixture model with spatial constraints is proposed in this paper. The Gaussian mixture model which is vulnerable to outliers and data longer than normal tails is a special case of the student's-t mixture model in theory. The Dirichlet distribution is used as a prior distribution to reduce the impact of outliers. The Dirichlet parameter set with spatial constrains is structured to incorporate the spatial information into the decision process. The closed form solution of the parameter set of the student's-t mixture model is solved by re-parameterizing the student's-t mixture model in the expectation maximization (EM) algorithm. The degree of freedom of each moving point is calculated to change the probability density to reduce the registration error. It can also avoid estimating the outlier level of data sets that may bring additional error. The experiments showed that this non-rigid registration algorithm has features of high-accuracy and good robustness compared to other point set registration approaches. 2014 Acta Automatica Sinica. All rights reserved.
收录类别	EI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/44275
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Zhou Z.-Y.,Li L.-H.,Zheng J.,et al. Point sets non-rigid registration using student's-t mixture model with spatial constraints[J]. Zidonghua Xuebao/Acta Automatica Sinica,2014,40(4):683-696.
APA	Zhou Z.-Y.,Li L.-H.,Zheng J.,Kuai D.-J.,Hu S.,&Zhang T..(2014).Point sets non-rigid registration using student's-t mixture model with spatial constraints.Zidonghua Xuebao/Acta Automatica Sinica,40(4),683-696.
MLA	Zhou Z.-Y.,et al."Point sets non-rigid registration using student's-t mixture model with spatial constraints".Zidonghua Xuebao/Acta Automatica Sinica 40.4(2014):683-696.

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