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Proceedings Paper

A Strategy for Recognizing Complex Objects
Author(s): Aravinda S. Athukorala
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Paper Abstract

This paper is concerned with the problem of recognizing complex objects rapidly and flexibly. The strategy is based on three main concepts: the use of a generalised local feature detector, an extended learning algorithm, and unique object structure. Most of the paper is devoted to a discussion of the strategy and the architecture that was developed to tackle this problem and the extent of its generality. Implementation and algorithmic considerations are given only briefly as they have already been described in detail elsewhere. A summary of test results is also given.

Paper Details

Date Published: 9 June 1986
PDF: 7 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952247
Show Author Affiliations
Aravinda S. Athukorala, PA Technology (Belgium)


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

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