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Polynomial Regression on Riemannian Manifolds
Hinkle, Jacob; Muralidharan, Prasanna; Fletcher, P. Thomas; Joshi, Sarang
通讯作者Hinkle, Jacob
会议名称12th European Conference on Computer Vision (ECCV)
会议日期OCT 07-13, 2012
会议地点Florence, ITALY
英文摘要

In this paper we develop the theory of parametric polynomial regression in Riemannian manifolds. The theory enables parametric analysis in a wide range of applications, including rigid and non-rigid kinematics as well as shape change of organs due to growth and aging. We show application of Riemannian polynomial regression to shape analysis in Kendall shape space. Results are presented, showing the power of polynomial regression on the classic rat skull growth data of Bookstein and the analysis of the shape changes associated with aging of the corpus callosum from the OASIS Alzheimer's study.


来源出版物COMPUTER VISION - ECCV 2012, PT III
ISSN0302-9743
出版年2012
卷号7574
页码1-14
EISBN978-3-642-33711-6
出版者SPRINGER-VERLAG BERLIN
类型Proceedings Paper
语种英语
国家USA
收录类别CPCI-S
WOS记录号WOS:000342817300001
WOS关键词SHAPE ; STATISTICS ; EQUATIONS ; SPLINES ; SPACES
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Mathematical & Computational Biology
WOS研究方向Computer Science ; Mathematical & Computational Biology
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/300422
作者单位Univ Utah, SCI Inst, Salt Lake City, UT 84112 USA
推荐引用方式
GB/T 7714
Hinkle, Jacob,Muralidharan, Prasanna,Fletcher, P. Thomas,et al. Polynomial Regression on Riemannian Manifolds[C]:SPRINGER-VERLAG BERLIN,2012:1-14.
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