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Proceedings Paper

Reasoning About Iconic Data In Artificial Vision
Author(s): Giovanni Adorni; Lina Massone; Giulio Sandini; Emanuele Trucco
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Paper Abstract

This paper deals with the extraction of multiple features and with iconic segmentation of images, with the purpose of providing a description of image entities like, for example, closed contours. In particular we will show how multiple sources of information can be integrated in a Iconic Data-Base, and how this data-base can be suitably organized for symbolic manipulation. Finally, the heuristics used to segment images of a simplified real world (a low scale model of an office-like environment whose objects are composed of planar surfaces) will be described, together with their actions on a Symbolic Data-Base.

Paper Details

Date Published: 9 June 1986
PDF: 13 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952267
Show Author Affiliations
Giovanni Adorni, University of Genoa (Italy)
Lina Massone, University of Genoa (Italy)
Giulio Sandini, University of Genoa (Italy)
Emanuele Trucco, Commission of the European Communities (Italy)

Published in SPIE Proceedings Vol. 0595:
Computer Vision for Robots
Olivier D. Faugeras; Robert B. Kelley, Editor(s)

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