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Proceedings Paper

Low-Level Representations for Robot Vision
Author(s): P. Anandan
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Paper Abstract

Current models of robot perception tend to isolate low-level visual processing from behavior and include unrealistic assumptions concerning the modularity of low-level processing. In this paper, I suggest a new way of viewing low-level vision computations based on an extension of Ullman's visual-routines idea. The earliest visual computations are measurements of intrinsic properties of the scene. This is followed by the computation of perceptual organizations. Beyond these two generic types of representations, most visual representations are task-specific and their computations task-dependent. The paper discusses various types of visual measurements that may be useful for a robot-vision system.

Paper Details

Date Published: 1 February 1990
PDF: 7 pages
Proc. SPIE 1196, Intelligent Control and Adaptive Systems, (1 February 1990); doi: 10.1117/12.969909
Show Author Affiliations
P. Anandan, Yale University (United States)

Published in SPIE Proceedings Vol. 1196:
Intelligent Control and Adaptive Systems
Guillermo Rodriguez, Editor(s)

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