super-resolution curve and image registration

被引:0
|
作者
Xia, M [1 ]
Liu, B [1 ]
机构
[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An affine invariant 2-D curve matching and alignment approach is proposed to solve the image registration problem. Superior accuracy and efficiency is achieved by a concept called super-resolution curve and a technique called B-spline fusion. A super-resolution curve is formed by superimposing two affine related and registered curves (in discrete form) upon each other. The B-spline fusion technique is designed to obtain a single B-spline approximation of the super-resolution curve and registration estimate simultaneously. Occlusion is handled by curve segmentation using inflections and cusps, which are affine invariant. Partial match then becomes possible by matching segments of curves. A complete image registration framework based on edge detection and curve alignment is then proposed. Accurate registration results have been achieved.
引用
收藏
页码:509 / 512
页数:4
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