Model-Based Vision: Using Cues To Select Hypotheses

G D Sullivan; K D Baker

doi:10.1117/12.938300

17 November 1986 Model-Based Vision: Using Cues To Select Hypotheses

G D Sullivan, K D Baker

Proceedings Volume 0654, Automatic Optical Inspection; (1986) https://doi.org/10.1117/12.938300
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

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.

Citation Download Citation

G D Sullivan and K D Baker "Model-Based Vision: Using Cues To Select Hypotheses", Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); https://doi.org/10.1117/12.938300

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