Share Email Print

Proceedings Paper

Three-dimensional object recognition by combination of perspective images
Author(s): Akihiro Sugimoto; Kazuo Murota
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top