Research on the immersive multimedia virtual interactive experience technology of the Great Wall World Heritage based on VR vision system

Autor: Wang Xiaofen, Wang Yanzhen, Yuan Pengjun, Yu Kaiyue
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2023.2.00482
Popis: This paper constructs an immersive multimedia virtual interactive experience technology with the Great Wall World Heritage Site as the experimental object. By analyzing the VR vision system and algorithm, the process of stereo vision perception and the general algorithm of somatic image production are explained. The distance equation and depth calculation in stereoscopic projection are studied, and the virtual interactive experience technology is constructed and applied to the World Heritage Site of the Great Wall. The result data show that the immersive multimedia virtual interactive experience technology highlights the real feeling of users more, in which the model has 50% of the influence on the real feeling, the mapping has 15%, the lighting has 15%, and the rendering has 10%. The youth population has a higher percentage of interest in the virtual field, accounting for 50%, 65%, and 60%, respectively, while the middle-aged stage has a more average degree of interest in the virtual field, with 50% of the average interest, 30% of happy to experience, 25% of not interested and 50% of interested. This thesis is conducive to enriching the project of the Great Wall World Heritage Site and providing an effective reference for technological innovation of immersive multimedia virtual interactive experience.
Databáze: Directory of Open Access Journals