影响因子：

1.7

所属单位：

ACADEMIC PRESS INC ELSEVIER SCIENCE

发表刊物：

GRAPHICAL MODELS

刊物所在地：

525 B ST, STE 1900, SAN DIEGO, CA 92101-4495

关键字：

Surface registration;Large deformations;Landmark constraints;Optimal mass transport;Teichmuller mapping

摘要：

Surface registration plays a significant role in computer vision and engineering fields. One of the most challenging problems in surface registration, however, is to obtain a unique bijective registration for surfaces with large deformations and landmarks constraints. In this work, a novel surface registration framework is proposed to tackle this problem using optimal mass transport mapping (OMT-Map) and Teichmuller mapping (T-Map). All metric surfaces with the disk topology are mapped to the planar disk using OMT-Map, which avoids huge area distortion, thus rendering our method more robust. A landmark-constrained T-Map is then computed between two planar disks such that the maximal conformality distortion is minimized while the landmarks are matched. Compared with existing surface registration methods, our method is more advantageous in enforcing the robustness by avoiding large area distortion, and producing diffeomorphisms with all landmarks matched consistently. Numerical experiments on various surfaces demonstrate the efficiency, robustness of our method. Published by Elsevier Inc.

合写作者：

Lei Na,Chen Wei,Gu Xianfeng

第一作者：

Ma Ming

论文类型：

文章

通讯作者：

Su Kehua

文献类型：

J

期号：

90

页面范围：

13-23

ISSN号：

1524-0703

是否译文：

否

发表时间：

2017-05-31

收录刊物：

SCI、EI

发布期刊链接：

www.elsevier.com/locate/gmod