Research on Real-Time Multi-dimensional Rendering Method of Fluid Phenomenon in Large-Scale Virtual Scene

被引:0
|
作者
He, Zhengwei [1 ]
Su, Kehua [2 ]
机构
[1] Wuhan Univ Technol, Sch Navigat, Wuhan 430070, Hubei, Peoples R China
[2] Wuhan Univ, Comp Sch, Wuhan 430070, Hubei, Peoples R China
关键词
Real-time multi-dimensional rendering; fluid phenomenon; large-scale virtual scene; dynamic LOD generation; contaminative gas diffusion simulation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The real-time visualization of multi-dimensional spatial data of fluid phenomenon has always been a big issue. As to these temporal data, this paper provides a multi-dimensional rendering method for grid data of regular three-dimensional space-dynamic partition projection. This method generates fluid space LOD dynamically through combining the idea of direct volume rendering and imposter technology, and then realizes the real-time scheduling of temporal space data rendering that based on temporal series. Experimental comparison shows that the method in this paper can reflect the relation between project and its order correctly and efficiently, and it can achieve real-time multidimensional visualization of fluid phenomenon in large-scale virtual scene.
引用
收藏
页码:271 / +
页数:2
相关论文
共 50 条
  • [21] Real-time and multi-resolution rendering of the infrared characteristics for large-scale terrains
    Li, Ni
    Li, Ren
    Gong, Guanghong
    Yan, Jin
    INFRARED PHYSICS & TECHNOLOGY, 2018, 94 : 173 - 183
  • [22] UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
    Gu, Jiaming
    Jiang, Minchao
    Li, Hongsheng
    Lu, Xiaoyuan
    Zhu, Guangming
    Shah, Syed Afaq Ali
    Zhang, Liang
    Bennamoun, Mohammed
    arXiv, 2023,
  • [23] UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
    Gu, Jiaming
    Jiang, Minchao
    Li, Hongsheng
    Lu, Xiaoyuan
    Zhu, Guangming
    Ali Shah, Syed Afaq
    Zhang, Liang
    Bennamoun, Mohammed
    Advances in Neural Information Processing Systems, 2023, 36
  • [24] UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
    Gu, Jiaming
    Jiang, Minchao
    Li, Hongsheng
    Lu, Xiaoyuan
    Zhu, Guangming
    Shah, Syed Afaq Ali
    Zhang, Liang
    Bennamoun, Mohammed
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [25] An efficient simplification and real-time rendering algorithm for large-scale terrain
    Kang, Lai
    Xu, Jiangbin
    Yang, Chao
    Yang, Bing
    Wu, Lingda
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2010, 38 (1-3) : 106 - 112
  • [26] Efficient modeling and real-time rendering of large-scale urban scenes
    State Key Laboratory of CAD and CG, Zhejiang University, Hangzhou 310058, China
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao, 2008, 9 (1153-1162):
  • [27] Real-time rendering of daylight sky scene for virtual environment
    Wang, Changbo
    Entertainment Computing - ICEC 2007, 2007, 4740 : 294 - 303
  • [28] Real-time walkthrough system of large-scale infrared dynamic scene
    Wang, Zhangye
    Wang, Changbo
    Zhou, Yan
    Peng, Qunsheng
    TECHNOLOGIES FOR E-LEARNING AND DIGITAL ENTERTAINMENT, PROCEEDINGS, 2006, 3942 : 947 - 950
  • [29] Real-Time Vehicle Queue Estimation of Large-Scale Traffic Scene
    Zhu, Jianliang
    Ai, Yunfeng
    Tian, Bin
    2017 2ND INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC 2017), 2017, : 1160 - 1165
  • [30] Real-time path planning of large-scale virtual crowd
    Ye, Yongqing
    Ji, Qingge
    2007 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL 1, PROCEEDINGS, 2007, : 190 - 193