In this paper we present a proposal for setting camera parameters which we claim to give results better matched to applications in color-coded environments then the camera internal algorithms. Moreover it does not require online human intervention, i.e. is automated, and is faster than a human operator. This work applies to situations where the camera is used to extract information from a color-coded world. The experimental activity presented has been performed in the framework of Robocup mid-size rules, with the hypothesis of temporal constancy of light conditions; this work is the necessary first step toward dealing with slow changes, in the time domain, of light conditions. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Grillo, E., Matteucci, M., & Sorrenti, D. G. (2005). Getting the most from your color camera in a color-coded world. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3276, pp. 221–235). Springer Verlag. https://doi.org/10.1007/978-3-540-32256-6_18
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