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

Citation

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 Statement

Copyright © 2009 Inderscience Enterprises Limited

Official URL: http://www.inderscience.com/

DOI: doi:10.1504/IJAHUC.2009.021910

Abstract

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:Artificial Intelligence and Image Processing
Research Field:Image Processing
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Application Tools and System Utilities
Author:Zehmeister, M (Mr Michael Zehmeister)
Author:Kim, YS (Dr Yang Kim)
Author:Kang, BH (Professor Byeong Kang)
ID Code:62179
Year Published:2009
Deposited By:Computing and Information Systems
Deposited On:2010-03-10
Last Modified:2014-12-19
Downloads:6 View Download Statistics

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