SUCCESSIVE CONVEX OPTIMIZATION FOR POINT SET REGISTRATION

被引：0

作者：

Gao, Yi ^{[1
,2
]}

机构：

[1] Univ Alabama Birmingham, Dept Elect & Comp Engn, Birmingham, AL 35487 USA

[2] Univ Alabama Birmingham, Ctr Comprehens Canc, Birmingham, AL 35294 USA

来源：

2014 IEEE 11TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2014年

关键词：

point set registration; log-Euclidean geometry; multi-scale scheme; FRAMEWORK; ALGORITHM; 2D;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We propose a new robust point set registration technique utilizing the global information of the two sets, rather than looking locally, for constructing the point-wise correspondence and estimating the transformation in between. Then, a multi-scale scheme further extends the algorithm to handling nonlinear diffeomorphic transformations. The algorithm is tested on 3D geometric and protein structure data sets to demonstrate its robustness to severe distortions.

引用

页码：790 / 793

页数：4

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