Robust Color Choice for Small-size League RoboCup Competition
Qiang Zhou, Limin Ma, David Chelberg, David Parrott
In this paper, the problem of choosing a set of most
separable colors in a given environment is discussed. The proposed
method models the process of generating theoretically computed
best colors, printing of these colors through a color printer, and
imaging the printed colors through a camera into an integrated
framework. Thus, it provides a feasible way to generate
practically best separable colors for a given environment with a
set of given equipment. A real world application (robust color
choice for small-size league RoboCup competition) is used as an
example to illustrate the proposed method. Experimental results on
this example show the competitiveness of the colors learned from
our algorithm compared to the colors adopted by other teams which
are
chosen via an extensive trial and error process using standard color papers. Full Text
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