Title: Intelligent colour matching method for 3D character animation based on texture features

Authors: Fei Tang

Addresses: School of Architecture and Art Design, University of Science and Technology Liaoning, An'shan 114051, China

Abstract: In order to overcome the problems of low matching degree and long matching time in traditional intelligent colour matching methods of 3D character animation, this paper proposes a colour intelligent matching method based on texture features. Three parameters H, S and V are taken as the main parameters of 3D character animation colour recognition, and the animation colour is compared with the colour quantisation template. According to the comparison results and colour difference formula, the animation colour recognition is realised. On this basis, SIFT algorithm is used to obtain colour features of 3D character animation, and clonal selection algorithm is used to realise colour intelligent matching of 3D character animation. The experimental results show that the accuracy rate of colour feature extraction is always above 96%, the colour matching degree is always above 97%, and the average colour matching time is 0.4 s. The practical application effect is good.

Keywords: texture features; 3D character animation; animation colour; intelligent matching; clonal selection algorithm.

DOI: 10.1504/IJART.2021.10043499

International Journal of Arts and Technology, 2021 Vol.13 No.2, pp.123 - 136

Received: 06 Jan 2021
Accepted: 06 Aug 2021

Published online: 21 Jan 2022 *

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