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Efficient NCC-Based Image Matching Based on Novel Hierarchical Bounds

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Advances in Multimedia Information Processing - PCM 2009 (PCM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5879))

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Abstract

In this paper, we propose a fast image matching algorithm based on the normalized cross correlation (NCC) by applying the winner-update strategy in conjunction with the novel hierarchical bounds of cross correlation. We derive a novel upper bound for the cross-correlation of image matching based on the lower bound of sum of square difference (SSD), which is derived in the Walsh-Hadamard domain because of its nice energy packing property. Applying this upper bound with the winner update search strategy can skip unnecessary calculation, thus significantly reducing the computational burden of NCC-based pattern matching. Experimental results show the proposed algorithm is very efficient for NCC-based image matching under different lighting conditions and noise levels.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Hungkuang University, Taichung, Taiwan

    Shou-Der Wei

  2. Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan

    Wei-Hau Pan & Shang-Hong Lai

Authors
  1. Shou-Der Wei
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  2. Wei-Hau Pan
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  3. Shang-Hong Lai
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Editor information

Editors and Affiliations

  1. Naresuan University, 65000, Phisanulok, Thailand

    Paisarn Muneesawang

  2. Microsoft Research Asia, 100109, Beijing, China

    Feng Wu

  3. Tokyo Institute of Technology, 226-8503, Yokohama, Japan

    Itsuo Kumazawa

  4. Mahanakorn University of Technology, 10530, Bankok, Thailand

    Athikom Roeksabutr

  5. Institute of Information Science, Academia Sinica, Taipei, Taiwan

    Mark Liao

  6. Chinese University of Hong Kong, Shatin, N.T., Hong Kong,  

    Xiaoou Tang

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© 2009 Springer-Verlag Berlin Heidelberg

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Wei, SD., Pan, WH., Lai, SH. (2009). Efficient NCC-Based Image Matching Based on Novel Hierarchical Bounds. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_71

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  • DOI: https://doi.org/10.1007/978-3-642-10467-1_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10466-4

  • Online ISBN: 978-3-642-10467-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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