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Image Matching by Multiscale Oriented Corner Correlation

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Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3851))

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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.

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Author information

Authors and Affiliations

  1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China

    Feng Zhao & Wen Gao

  2. Graduate School of the Chinese Academy of Sciences, Beijing, 100039, China

    Feng Zhao, Qingming Huang & Wen Gao

Authors
  1. Feng Zhao
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  2. Qingming Huang
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  3. Wen Gao
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Editor information

Editors and Affiliations

  1. International Institute of Information Technology, Center for Visual Information Technology, Hyderabad, India

    P. J. Narayanan

  2. Department of Computer Science, Columbia University, 500 West 120th Street, 10027, New York, NY, USA

    Shree K. Nayar

  3. Microsoft Research Asia, Beijing, P.R. China

    Heung-Yeung Shum

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhao, F., Huang, Q., Gao, W. (2006). Image Matching by Multiscale Oriented Corner Correlation. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_93

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  • DOI: https://doi.org/10.1007/11612032_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31219-2

  • Online ISBN: 978-3-540-32433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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