Image matching based on singular value decomposition

被引：0
|
作者：
Zhao, F [1 ]
机构：
[1] Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
[2] Chinese Acad Sci, Grad Sch Chinese, Beijing 100039, Peoples R China
来源：
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2004, PT 3, PROCEEDINGS | 2004年 / 3333卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a simple and effective method for matching two uncalibrated images. First, corner points are extracted in both images separately. Then the initial set of point matches is obtained by singular value decomposition of a well-designed correspondence strength matrix. A new expression of this matrix is introduced to get more reliable initial matches. Last, the epipolar geometry constraint is imposed to reject the false matches. Experimental results on real images show this method to be effective for general image matching.
引用
收藏
页码：119 / 126
页数：8
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