NDLI: Singular value decomposition based image matching

Content Provider	IEEE Xplore Digital Library
Author	Feng Zhao Wen Gao
Copyright Year	2004
Description	Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China (Feng Zhao; Wen Gao)
Abstract	This paper presents a simple and effective method for matching two uncalibrated images. Corner points are firstly extracted as interest points in the two images. Each interest point is assigned one dominant orientation. The initial set of point matches is then obtained by singular value decomposition of a correspondence strength matrix. A new expression of this matrix is introduced to handle more complicated imaging conditions. Each element of this matrix is the similarity measure between two interest points. The new similarity measure is invariant to image rotation by taking into account the dominant orientation of the two interest points. The epipolar geometry constraint is finally imposed to reject the false matches. Experimental results on real images show this approach to be effective for general image matching.
Starting Page	192
Ending Page	195
File Size	1118090
Page Count	4
File Format	PDF
ISBN	0769522440
DOI	10.1109/ICIG.2004.131
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Computer vision Tracking Image matching Detectors Robustness Matrix decomposition Application software Rotation measurement Singular value decomposition
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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