Techniques for obtaining robust, real-time, colour-based vision for robotics

James Brusey, Lin Padgham

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

8 Citations (Scopus)

Abstract

An early stage in image understanding using colour involves recognizing the colour of target objects by looking at individual pixels. However, even when, to the human eye, the colours in the image are distinct, it is a challenge for machine vision to reliably recognize the whole object from colour alone, due to variations in lighting and other environmental issues. In this paper, we investigate the use of decision trees as a basis for recognizing colour. We also investigate the use of colour space transforms as a way of eliminating variations due to lighting.

Original languageEnglish
Title of host publicationRoboCup-99: Robot Soccer World Cup III
Place of PublicationBerlin ; New York
PublisherSpringer, Springer Nature
Pages243-253
Number of pages11
Volume1856
ISBN (Print)9783540410430
Publication statusPublished - 2000
Event3rd Robot World Cup Soccer Games and Conferences, RoboCup 1999 - Stockholm, Sweden
Duration: 27 Jul 19996 Aug 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1856
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd Robot World Cup Soccer Games and Conferences, RoboCup 1999
Country/TerritorySweden
CityStockholm
Period27/07/996/08/99

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