Development of the color constancy vision algorithms using bio-inspired information processing

Author

Takemura, Yasunori ; Ishii, Kazuo

Author_Institution

Dept. of Brain Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka, Japan

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

1746

Lastpage

1751

Abstract

One of important subjects for mobile robots is the vision based decision-making system with environmental recognition. In order to extract features from obtained images, how to realize color constancy by adjusting color property is the important technical issue. We have been working on color constancy vision algorithms using bio-inspired information processing methods as self-organizing map (SOM), modular network SOM (mnSOM) and neural gas (NG). In this paper, we introduce the color constancy algorithms to a mobile robot platform for RoboCup middle size league and evaluate the performances through a vision based self-localization problem in various light conditions.

Keywords

feature extraction; mobile robots; robot vision; self-organising feature maps; RoboCup middle size league; bioinspired information processing; color constancy vision algorithms; environmental recognition; feature extraction; mobile robots; modular network SOM; neural gas; self-organizing map; vision based decision-making system; vision based self-localization problem; Artificial intelligence; Color; Information processing; Intelligent robots; Machine vision; Mobile robots; Orbital robotics; Robot vision systems; Service robots; Space technology; bio-inspired information processing; color constancy; robot vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346644

Filename

5346644