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Finding the center of rotational symmetry from noisy forms

  • Poster Session I
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  • First Online:
Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

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Abstract

This paper presents a technique for analyzing noisy symmetric forms. The approximate center of rotational symmetry is defined on a form which has noisy rotational symmetry. The genetic algorithm(GA) is employed for defining the center. Performance of the GA is examined by a number of synthetic forms with noisy rotational symmetry. Experimental results based on real images are shown and discussion is given.

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References

  1. Eades, P.: “Symmetry finding algorithms”, Computational Morphology, North-Holland, Amsterdam, 41–51, 1988.

    Google Scholar 

  2. Minovic, P., Ishikawa, S., Kato, K.: “Three-dimensional symmetry identification”, Memoirs of The Kyushu Inst. Tech., 21, 1–16, 1992.

    Google Scholar 

  3. Marola, G.: “On the detection of the axes of symmetry of symmetric and almost symmetric planar images”, IEEE Trans. Patt. Anal. Mach. Intell., PAMI-11, 104–108, 1989.

    Google Scholar 

  4. Minovic, P., Ishikawa, S., Kato, K.: “Symmetry identification of a 3-D object represented by octree”, IEEE Trans. Patt. Anal. Mach. Intell., PAMI-15, 5, 507–514, 1993.

    Google Scholar 

  5. Ishikawa, S., et al.: “A method of analyzing a shape with potential symmetry and its application to detecting spinal deformity”, Computer Vision, Virtual Reality and Robotics in Medicine, 465–470, Springer, 1995.

    Google Scholar 

  6. Abu-Mostafa, Y. S., Psaltis, D.: “Image normalization by complex moments”, IEEE Trans. Patt. Anal. Mach. Intell., PAMI-7, 1, 46–55, 1985.

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical and Control Engineering, Kyushu Institute of Technology, Sensuicho 1-1, 804, Tobata, Kitakyushu, Japan

    Hyoung Seop Kim, Nachi Motomura & Seiji Ishikawa

Authors
  1. Hyoung Seop Kim
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  2. Nachi Motomura
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  3. Seiji Ishikawa
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Kim, H.S., Motomura, N., Ishikawa, S. (1997). Finding the center of rotational symmetry from noisy forms. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_141

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  • DOI: https://doi.org/10.1007/3-540-63930-6_141

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

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