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Illumination identification by using image colour data and robot's location and orientation data


Zehmeister, M and Kim, YS and Kang, BH, Illumination identification by using image colour data and robot's location and orientation data, International Journal of Ad Hoc and Ubiquitous Computing, 4, (1) pp. 13-23. ISSN 1743-8225 (2009) [Refereed Article]

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Copyright © 2009 Inderscience Enterprises Limited

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DOI: doi:10.1504/IJAHUC.2009.021910


Lighting changes render colour calibrations inaccurate and effectively blind systems that rely on identifying objects by color. This study investigates the relationships in the colour data of image pixels between lighting conditions in an effort to identify trends that can be used as the basis of a rule-based system. The aim of the system is to identify the current lighting level as one of a set of known conditions. The proposed system uses both the colour data of image pixels and location and orientation information of Artificial Intelligence roBOt (AIBO, homonymous with ‘partner’ in Japanese) to identify lighting levels, allowing a vision system to switch to an appropriate pre-configured calibration. While the direct area application is on AIBO in the RoboCup domain, the work is applicable in any area that uses color-vision in a situation in which lighting changes occur.

Item Details

Item Type:Refereed Article
Keywords: illumination identification; colour calibrations; AIBO; artificial intelligence roBOt; RoboCup.
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Zehmeister, M (Mr Michael Zehmeister)
UTAS Author:Kim, YS (Dr Yang Kim)
UTAS Author:Kang, BH (Professor Byeong Kang)
ID Code:62179
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2010-03-10
Last Modified:2014-12-19
Downloads:6 View Download Statistics

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