Abstract
One of important subjects for mobile robots is the vision based decision making system, where the color constancy is big problem for robots which use color property to recognize environments. We have been working on color constancy vision algorithms using bio-inspired information processing as creatures can recognize color and shape of objects even if there exits a large change of light conditions in outdoor environments. In this paper, we evaluate the performances of color recognition using bio-inspired processing algorithms such as Self-Organizing Map (SOM), modular network SOM (mnSOM) and Neural Gas (NG). The experimental results in various light conditions are discussed.
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Takemura, Y., Ishii, K. (2009). Evaluation of Color Constancy Vision Algorithm for Mobile Robots. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_46
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DOI: https://doi.org/10.1007/978-3-642-10684-2_46
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