Recognition of single 3D curved objects using 2D cross-sectional slice shapes☆

https://doi.org/10.1016/0262-8856(89)90046-2Get rights and content

Abstract

In this paper a new approach to recognition of single 3D curved objects is proposed. Horizontal cross-sectional slice shapes are used for 3D object representation. 3D object recognition is accomplished by matching the cross-sectional slice shapes of an input object with those of each object model. Thus, 2D image analysis techniques can be used for slice shape matching, including the use of the distance-weighted correlation for shape similarity measurement and the construction of a decision tree for decision-making. Instead of computing all the slice shapes for each input object in the recognition process, only those involved in the decision tree are computed by a data acquisition system. This increases recognition speed. Experimental results with a high recognition rate prove the feasibility of the proposed approach.

References (15)

  • TC Fan et al.

    Automatic Chinese seal identification

    Computer Vision, Graph. Image Process

    (1984)
  • LR Nevatia et al.

    Structural description of complex objects

  • GJ Agin et al.

    Computer description of curved objects

    IEEE Trans. Comput.

    (1979)
  • LR Nevatia et al.

    Description and recognition of curved objects

    Artif. Intell.

    (1977)
  • DT Kaun et al.

    Model-based interpretation of range imagery

  • B Bhaun

    Representation and shape matching of 3D objects

    IEEE Trans. Pattern Anal. Mach. Intell.

    (1984)
  • B Bhaun

    Surface representation and shape matching of 3D objects

There are more references available in the full text version of this article.

Cited by (0)

☆

This work was supported by Electronics Research and Service Organization, Industrial Technology Research Institute under grant contract MIST-76002.

View full text
Copyright © 1989 Published by Elsevier B.V.