Combining geodesic interpolating splines and affine transformations

被引：8
|
作者：
Younes, L [1 ]
机构：
[1] Johns Hopkins Univ, Dept Appl Math & Stat, Baltimore, MD 21208 USA
[2] Johns Hopkins Univ, Ctr Imaging Sci, Baltimore, MD 21208 USA
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 05期
关键词：
affine registration; geodesic splines; image registration; landmark matching; nonrigid registration;
D O I：
10.1109/TIP.2005.864163
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Geodesic spline interpolation is a simple and efficient approach for landmark matching by nonambiguous mappings (diffeomorphisms), combining classic spline interpolation and flows of diffeomorphisms. Here, we extend the method to incorporate the estimation of a affine transformation, yielding a consistent and numerically stable algorithm. A theoretical justification is provided by studying the existence of the global minimum of the energy.
引用
收藏
页码：1111 / 1119
页数：9
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