Model-Based Vision: Using Cues To Select Hypotheses

17 November 1986

proceedings article
Published by SPIE-Intl Soc Optical Eng

Vol. 654, 272-277
https://doi.org/10.1117/12.938300

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.© (1986) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Keywords

VISION

This publication has 0 references indexed in Scilit: