Paper
15 March 2024 Application of visual aesthetic feeling of intelligent computer color in ceramic art design
Liangci Li
Author Affiliations +
Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130751K (2024) https://doi.org/10.1117/12.3026292
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China
Abstract
In order to improve the visual effect of ceramic design, this paper analyzes the visual aesthetic feeling of ceramic design with intelligent computer color technology. Based on the expression of color emotion in color psychology, this paper divides ceramic color into mobile application color system with the color design of mobile application and puts forward a method of color visual style transfer about mobile application interface, so that designers can change the color visual style of mobile application interface at will. Through the emotional state quantification experiment, the paper discusses that different ceramic color design schemes are the internal mechanism of user's emotional change, constructs the quantitative relationship between emotional state and objective physiological characteristics under different ceramic color attribute inducing conditions, and puts forward a related spatial color transmission method based on intrinsic image decomposition. From the experimental results, it can be seen that the ceramic color art design system proposed in this paper has good effect and can effectively improve the simulation design efficiency of ceramic art.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Liangci Li "Application of visual aesthetic feeling of intelligent computer color in ceramic art design", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130751K (15 March 2024); https://doi.org/10.1117/12.3026292
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KEYWORDS
Color

Ceramics

Design

Visualization

Emotion

Image processing

Image segmentation

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