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Proceedings Paper

Extraction Of Visible Patterns Of 3-Dimensional Objects
Author(s): Touzen Hai; Tomomitsu Murano; Eiichiro Yamamoto
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Paper Abstract

In the fields of computer vision and scene analysis, it is difficult to recognize a 3-dimensional object from 2-dimensional image taken by a TV camera, because the image changes as the object is rotated in 3-dimensional space. This paper deals with convex polyhedrons, and proposes a method for determining 2-dimensional visible patterns of a given 3-dimensional object. Each visible pattern is defined by the shapes of visible faces of the 3-dimensional object, and by the connection relationships between the faces. This method makes it easier to recognize a 3-dimensional object from 2-dimensional images. Finally we present some experimental results to show the effectiveness of our method.

Paper Details

Date Published: 6 April 1987
PDF: 8 pages
Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); doi: 10.1117/12.938511
Show Author Affiliations
Touzen Hai, Fujitsu Laboratories (Japan)
Tomomitsu Murano, Fujitsu Laboratories (Japan)
Eiichiro Yamamoto, Fujitsu Laboratories (Japan)

Published in SPIE Proceedings Vol. 0657:
Applications of Artificial Intelligence IV
John F. Gilmore, Editor(s)

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