Advanced Search
Liu Zhicheng, Feng Enyang, Huang Anning, Ren Peng, Ai Zihao, Liang Dong, Jia Jinyuan. Key Technologies of Large-Scale Crowd Online Visualization for WebVR Conference[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(5): 769-779. DOI: 10.3724/SP.J.1089.2023.19497
Citation: Liu Zhicheng, Feng Enyang, Huang Anning, Ren Peng, Ai Zihao, Liang Dong, Jia Jinyuan. Key Technologies of Large-Scale Crowd Online Visualization for WebVR Conference[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(5): 769-779. DOI: 10.3724/SP.J.1089.2023.19497

Key Technologies of Large-Scale Crowd Online Visualization for WebVR Conference

  • Large-scale mobile WebVR conferences encounter technical challenges, such as huge data volume, abnormal network transmission stalls, low web page rendering frame rate and extremely poor visual effects. A series of key technologies are studied to handle these challenges: firstly, a lightweight dynamic modeling method for large-scale crowds based on dispersion is proposed, which enriches the diversity of population on the premise of ensuring lightness and authenticity. Secondly, a fine-grained transmission scheduling algorithm for dynamic crowd scenario is designed, which significantly improves the network loading response speed of dynamic scenario. Finally, a lightweight online rendering method of large-scale meeting scenes based on WebGPU is designed, and the single DrawCall diversified rendering of dynamic people is realized on the mobile web page. The measured technical indicators on the mobile internet show that the solution has obvious advantages in terms of lightness, authenticity, diversity, scale and efficiency.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return