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Three-dimensional object recognition based on the combination of views (1998)
| Venue: | Cognition |
| Citations: | 47 - 0 self |
BibTeX
@ARTICLE{Ullman98three-dimensionalobject,
author = {Shimon Ullman},
title = {Three-dimensional object recognition based on the combination of views},
journal = {Cognition},
year = {1998},
volume = {67},
pages = {21--44}
}
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Abstract
Visual object recognition is complicated by the fact that the same 3D object can give rise to a large variety of projected images that depend on the viewing conditions, such as viewing direction, distance, and illumination. This paper describes a computational approach that uses combinations of a small number of object views to deal with the effects of viewing direction. The first part of the paper is an overview of the approach based on previous work. It is then shown that, in agreement with psychophysical evidence, the view-combinations approach can use views of different class members rather than multiple views of a single object, to obtain class-based generalization. A number of extensions to the basic scheme are considered, including the use of non-linear combinations, using 3D versus 2D information, and the role of coarse classification on the way to precise identification. Finally, psychophysical and biological aspects of the view-combination approach are discussed. Compared with approaches that treat object recognition as a symbolic high-level activity, in the view-combination approach the emphasis is on processes that are simpler and pictorial in nature. © 1998 Elsevier Science B.V. All rights reserved Keywords: Three-dimensional object recognition; View combinations; Classification 1. Recognition and the variability of object views For biological visual systems, visual object recognition is a spontaneous, natural activity. In contrast, the recognition of common objects is still beyond the capabilities of current computer vision systems. In this paper I will examine certain aspects of the recognition problem and outline an approach to recognition based on the
Keyphrases
three-dimensional object recognition object view view-combination approach visual object recognition psychophysical evidence view-combinations approach large variety coarse classification viewing condition biological aspect view combination different class member non-linear combination small number recognition problem object recognition computational approach biological visual system common object first part elsevier science b.v. right symbolic high-level activity basic scheme single object natural activity certain aspect multiple view class-based generalization previous work current computer vision system
