Image warping using radial basis functions

被引:11
|
作者
Chen, Ting-Li [1 ]
Geman, Stuart [2 ]
机构
[1] Acad Sinica, Inst Stat Sci, Taipei 11529, Taiwan
[2] Brown Univ, Div Appl Math, Providence, RI 02912 USA
基金
美国国家科学基金会;
关键词
thin plate spline; image warping; image morphing; data interpolation; optimization; SCATTERED DATA INTERPOLATION; BIVARIATE;
D O I
10.1080/02664763.2013.838667
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Image warping is the process of deforming an image through a transformation of its domain, which is typically a subset of R-2. Given the destination of a collection of points, the problem becomes one of finding a suitable smooth interpolation for the destinations of the remaining points of the domain. A common solution is to use the thin plate spline (TPS). We find that the TPS often introduces unintended distortions of image structures. In this paper, we will analyze interpolation by TPS, experiment with other radial basis functions, and suggest two alternative functions that provide better results.
引用
收藏
页码:242 / 258
页数:17
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