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Proceedings Paper

Three-dimensional object recognition by combination of perspective images
Author(s): Akihiro Sugimoto; Kazuo Murota
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Paper Abstract

This paper studies an object recognition problem, that is, the problem of determining whether a given perspective image is obtained from a 3-D object to be recognized or not. As an extension of Ullman and Basri's approach, it is found that any perspective image of an object can be expressed as a certain type of nonlinear combination of four appropriate perspective images of the same object. We show that any image of an object with not only a rigid 3-D transformation but also a nonrigid transformation has this property. In order to recognize a 3- D object, we have only to store four perspective images and, whenever a new perspective image is given, determine whether it can be expressed as a combination of the four images. This implies that we no longer need to recover the 3-D information of an object explicitly under perspective projection. Our investigation shows that four perspective images have sufficient information to recognize a 3-D object.

Paper Details

Date Published: 10 June 1993
PDF: 13 pages
Proc. SPIE 1904, Image Modeling, (10 June 1993); doi: 10.1117/12.146690
Show Author Affiliations
Akihiro Sugimoto, ATR Auditory and Visual Perception Research Labs. (Japan)
Kazuo Murota, Kyoto Univ. (Japan)


Published in SPIE Proceedings Vol. 1904:
Image Modeling
Lawrence A. Ray; James R. Sullivan, Editor(s)

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