DETECTING MIRROR SYMMETRIES OF 3D OBJECTS FROM UNORGANIZED SET OF POINTS

7 References
  • CHUMAN Masahiko
    Department of Computer Science, Graduate School of Science and Technology, Keio University
  • OHNO Yoshio
    Department of Computer Science, Graduate School of Science and Technology, Keio University

Bibliographic Information

Other Title
  • 不規則点列データにおける面対称性の検出

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Description

Symmetry is a very important feature for various shapes in the shape recognition and in computer graphics shape modeling. In this paper, we focus on the mirror symmetry of a 3D object that is expressed as a set of unorganized points. By deciding whether the object has such symmetry or not, and by detecting the position and the direction of the plane of the symmetry, we can construct the model of the object more accurately. Our algorithm cut a 3D object with any plane which passes through the center of the gravity of the object, and then decide the plane of the symmetry based on the extrema of cross section area.

Journal

  • IPSJ SIG Notes

    IPSJ SIG Notes 94 25-30, 1999-02-26

    Information Processing Society of Japan (IPSJ)

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Details 詳細情報について

  • CRID
    1570291227178832256
  • NII Article ID
    110002781303
  • NII Book ID
    AN10100541
  • ISSN
    09196072
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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