Abstract
Color transfer is an important problem in the field of non-photorealistic rendering research. We have developed and propose an approach that adopts interactive evolutionary computation to solve the problem. Conventional studies try to transform the colors and select only one output, which may have no relationship to the user's requirements. Our approach aims to obtain and optimal output for each user. We introduce dividing gene-coding and an adaptive probability for color selection to reduce user costs and obtain optimal solutions quickly. Our approach updates the probability for color selection, based on user's evaluation history. We will present and confirm the validity of our approach and demonstrate its' efficiency.
