Open Access Open Access  Restricted Access Subscription or Fee Access

Auto color calibration algorithm using neural networks and its application to RoboCup robot vision

Yasunori Takemura, Kazuo Ishii

Abstract


One of the most important aspects in mobile robots concerns vision based decision-making systems, where color constancy is a major problem for robots, since they often use the color property to recognize their environments. Animals can recognize the color and shape of objects despite large changes in lighting conditions in outdoor environments, for example. Biomimetic software and hardware have attracted much attention because of the possibility of realizing flexible and adaptive systems as in animals. We have been working on color constancy vision algorithms using a bio-inspired information processing technique. In this paper, we evaluate the performance of color recognition using bio-inspired information processing algorithms, namely the Self-Organizing Map (SOM), modular network SOM (mnSOM), and Neural Gas (NG), and discuss the experimental results under various lighting conditions.

Full Text: PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.