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Three-Dimensional Visualization Analysis of Distributed Virtual Reality Taking into Account Grid Scientific Computing Model.

Authors :
Jin, Xinxin
Zhang, Daohua
Source :
Mobile Information Systems; 4/11/2022, p1-9, 9p
Publication Year :
2022

Abstract

With the in-depth development of the application of virtual reality technology, people have higher and higher requirements for the complexity and realism of virtual scene, which far exceeds the real-time processing ability of computer graphics hardware. Back to this, there is an urgent need to solve the contradiction between the complexity of the scene and the real-time interaction. In this paper, the real-time visualization of real-time distributed virtual reality is studied in many aspects. Starting with the analysis of the characteristics of real-time visualization technology of distributed virtual reality, this paper studies the system structure of real-time distributed virtual reality, puts forward the idea of realizing real-time distributed virtual reality visualization, introduces grid scientific computing model, and constructs a three-dimensional vertical visualization platform of distributed virtual reality. The visual analysis of virtual reality is carried out for the corresponding slope and corresponding geological conditions; the comprehensive analysis of spatial distribution is carried out by using three-dimensional visualization, the relevant contents of real-time display, and the generation and real-time display of realistic graphics. In order to increase the realism of 3D image, visibility judgment, and blanking technology, the level of detail model and texture mapping is used. The simulation results show that the grid scientific computing model is effective and can support the three-dimensional visual analysis of distributed virtual reality. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1574017X
Database :
Complementary Index
Journal :
Mobile Information Systems
Publication Type :
Academic Journal
Accession number :
156248182
Full Text :
https://doi.org/10.1155/2022/3499624