Abstract: In order to understand the intelligent digital virtual clothing display system based on mathematical models, the author proposes a research on an intelligent digital virtual clothing display system based on LDA mathematical models. The author first analyzes the realization of clothing matching function, and selects the cooperation between human skin color and clothing field as the influencing factors of clothing color matching and style matching based on expert knowledge and historical experience. Secondly, based on the different characteristics of different skin tones and the knowledge of clothing color matching, a set of clothing matching recommendation plans is presented to recommend suitable colors for users to refer to. Additionally, clothing style recommendations and choices are set, divided into upper and lower clothing, allowing users to choose more independently, the system itself also provides certain reference matching knowledge. Finally, the clothing matching rules were converted into computer image data, through analysis of the current market and existing research results, it was decided to implement a clothing matching display system based on VR technology, while providing recommended clothing matching solutions, a three-dimensional space was constructed to display clothing, allowing users to watch the effects of clothing matching according to their own choices, provide a new way for users in the clothing industry who have this demand.

Zhao Wu and Qingyuan He, “Intelligent Digital Virtual Clothing Display System Based on LDA Mathematical Model” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01511133

@article{Wu2024,
title = {Intelligent Digital Virtual Clothing Display System Based on LDA Mathematical Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01511133},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01511133},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Zhao Wu and Qingyuan He}
}