Image mosaicing by stratified matching

被引：23
|
作者：
Kanazawa, Y [1 ]
Kanatani, K
机构：
[1] Toyohashi Univ Technol, Dept Knowledge Based Informat Engn, Toyohashi, Aichi 4418580, Japan
[2] Okayama Univ, Dept Informat Technol, Okayama 7008530, Japan
来源：
IMAGE AND VISION COMPUTING | 2004年 / 22卷 / 02期
关键词：
template matching; feature point correspondence; robust estimation; LMedS; image mosaicing; homography;
D O I：
10.1016/j.imavis.2003.07.001
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a robust method for automatically matching points over two images for image mosaicing: after extracting feature points using a feature detector, we progressively estimate the rotation, the scale change, and the projective distortion between the two images by random voting and variable template matching. Using real images, we demonstrate that our method allows accurate image mosaicing even when conventional methods fail. (C) 2003 Published by Elsevier B.V.
引用
收藏
页码：93 / 103
页数：11
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