Image matching based on singular value decomposition

Authors:
Feng Zhao
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

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Abstract

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.