A novel and practical approach towards color constancy for mobile robots using overlapping color space signatures

Stanton, C; Williams, MA

A novel and practical approach towards color constancy for mobile robots using overlapping color space signatures

Stanton, C Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, 4020 LNAI pp. 444 - 451
Issue Date:: 2006-12-01

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Field	Value	Language
dc.contributor.author	Stanton, C	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2006-12-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, 4020 LNAI pp. 444 - 451	en_US
dc.identifier.isbn	9783540354376	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3980
dc.description.abstract	Color constancy is the ability to correctly perceive an object's color regardless of illumination. Within the controlled, color-coded environments in which many robots operate (such as RoboCup), engineers have been able to avoid the color constancy problem by using straightforward mappings of pixel values to symbolic colors. However, for robots to perform color vision tasks under natural light the color constancy problem must be addressed. We have developed a color vision system which allows for the color space signatures of different symbolic colors to overlap. This raises the question: if a specific pixel value can be mapped to multiple symbolic colors, how does the robot determine which color is the "correct" one? Context plays an important role. We adopt a knowledge driven approach which allows the robot to reason about uncertain color values. The system is fully implemented on a Sony AIBO. © Springer-Verlag Berlin Heidelberg 2006.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	A novel and practical approach towards color constancy for mobile robots using overlapping color space signatures	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4020 LNAI	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Osaka, Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	4020 LNAI	en_US

Abstract:

Color constancy is the ability to correctly perceive an object's color regardless of illumination. Within the controlled, color-coded environments in which many robots operate (such as RoboCup), engineers have been able to avoid the color constancy problem by using straightforward mappings of pixel values to symbolic colors. However, for robots to perform color vision tasks under natural light the color constancy problem must be addressed. We have developed a color vision system which allows for the color space signatures of different symbolic colors to overlap. This raises the question: if a specific pixel value can be mapped to multiple symbolic colors, how does the robot determine which color is the "correct" one? Context plays an important role. We adopt a knowledge driven approach which allows the robot to reason about uncertain color values. The system is fully implemented on a Sony AIBO. © Springer-Verlag Berlin Heidelberg 2006.

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http://hdl.handle.net/10453/3980