Image matching by multiscale oriented corner correlation

Authors:
Feng Zhao;Qingming Huang;Wen Gao
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Graduate School of the Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Year:
2006

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Abstract

In this paper we present a simple but effective method for matching two uncalibrated images. Feature points are firstly extracted in each image using a fast multiscale corner detector. Each feature point is assigned with one dominant orientation. The correspondence of feature points is then established by utilizing a multilevel matching strategy. We employ the normalized cross-correlation defined as the similarity measure between two feature points in the matching procedure. The orientation of the correlation window is determined by the dominant orientation of the feature point to achieve rotation invariance. Experimental results on real images demonstrate that our method is effective for matching two images with large rotation and significant scale changes.