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Proceedings Paper

Model-Based Vision: Using Cues To Select Hypotheses
Author(s): G D Sullivan; K D Baker
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Paper Abstract

A method of recognising a simple object in a cluttered scene is described, which uses geometrical models to express detailed knowledge about the object and the scene. Salient features of the object serve as cues which guide a search for an appropriate instance of the model; a pre-processor identifies a minimal set of tests for the cue. The method is demonstrated by a program which detects London buses in street scenes, but may be applied to a wide variety of other visual tasks.

Paper Details

Date Published: 17 November 1986
PDF: 6 pages
Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); doi: 10.1117/12.938300
Show Author Affiliations
G D Sullivan, Plymouth Polytechnic (England)
K D Baker, Plymouth Polytechnic (England)


Published in SPIE Proceedings Vol. 0654:
Automatic Optical Inspection
Lionel R. Baker; H. John Caulfield, Editor(s)

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