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International Conference on Scale-Space Theories in Computer Vision

Scale-Space 1997: Scale-Space Theory in Computer Vision pp 353–356Cite as

Extraction of a structure feature from three-dimensional objects by scale-space analysis

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1252))

Abstract

Linear scale-space filtering is mainly applied to gray-scale image analysis and two dimensional shape analysis. In this paper, we present a new application of scale-space filtering for the extraction of structure features of three-dimensional objects. Using linear scale-space analysis of three-dimensional object, we define the structure line of a three-dimensional object using the results of differential geometry.

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References

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Author information

Authors and Affiliations

  1. Dept. of Information and Computer Sciences, Chiba University, 1-33 Yayoi-cho, Inage-ku, 263, Chiba, Japan

    Atsushi Imiya & Ryo Katsuta

Authors
  1. Atsushi Imiya
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  2. Ryo Katsuta
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Editor information

Bart ter Haar Romeny Luc Florack Jan Koenderink Max Viergever

Additional information

Dedicate to Professor Taizo Iijima and Professor Hajime Enomoto on the occasions of their seventieth birthdays.

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© 1997 Springer-Verlag Berlin Heidelberg

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Imiya, A., Katsuta, R. (1997). Extraction of a structure feature from three-dimensional objects by scale-space analysis. In: ter Haar Romeny, B., Florack, L., Koenderink, J., Viergever, M. (eds) Scale-Space Theory in Computer Vision. Scale-Space 1997. Lecture Notes in Computer Science, vol 1252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63167-4_70

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  • DOI: https://doi.org/10.1007/3-540-63167-4_70

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63167-5

  • Online ISBN: 978-3-540-69196-9

  • eBook Packages: Springer Book Archive

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