Large-scale terrain-adaptive LOD control based on GPU tessellation

被引:6
|
作者
Fu, Haohai [1 ,2 ,3 ]
Yang, Huamin [1 ]
Chen, Chunyi [1 ]
机构
[1] Changchun Univ Sci & Technol, Sch Comp Sci & Technol, Changchun 130022, Peoples R China
[2] Changchun Inst Technol, Changchun 130012, Peoples R China
[3] Jilin Prov Key Lab Changbai Hist Culture & VR Rec, Changchun 130012, Peoples R China
基金
中国国家自然科学基金;
关键词
GPU Tessellation; Terrain model; LOD; Rendering; Height variance;
D O I
10.1016/j.aej.2021.01.029
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The real-time rendering of large-scale terrain scenes has been a challenge and is a popular research topic in the fields of 3D games and virtual reality. To fully utilize GPU features, this paper proposes a real-time rendering algorithm for large-scale regular grid terrain based on GPU Tessellation. The CPU processes a coarse-grained quadtree to generate terrain patches and then passes the patches to the GPU after view culling. Then, the GPU refines the terrain by using GPU Tessellation and displacement mapping. The most important advantage of our method is that during the tessellation stage, a new rule that the distance, screen space projection error and variance of the height, as the standard of terrain roughness, is designed. During the tessellation stage, the distance, screen space projection error and variance of the height, as the standard of terrain roughness, are considered. The experimental results show that our algorithm can greatly reduce the CPU processing time and main memory space requirement, and fully utilize the new features of the GPU; In conclusion, the proposed approach can render large-scale terrain with high-precision in real-time. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:2865 / 2874
页数:10
相关论文
共 50 条
  • [1] Adaptive LOD terrain rendering with GPU tessellation
    Wang, Dong
    Zhu, Qingsheng
    Xia, Yi
    Liu, Dan
    Li, Wei
    Zhang, Ling
    Journal of Computational Information Systems, 2015, 11 (20): : 7489 - 7496
  • [2] Large-scale LOD Adaptive Terrain Rendering
    Yu, Wenlong
    Zhang, Limin
    Zhangr, Bingqiang
    ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 2450 - 2453
  • [3] Terrain-Adaptive Bipedal Locomotion Control
    Wu, Jia-chi
    Popovic, Zoran
    ACM TRANSACTIONS ON GRAPHICS, 2010, 29 (04):
  • [4] Large-scale terrain realistic rendering based on programmable GPU hardware
    Jin, Hailiang
    Lu, Xiaoping
    Liu, Huijie
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University, 2010, 35 (02): : 143 - 146
  • [5] Real-time Rendering of Large-scale Terrain based on GPU
    Zhang, Yanyan
    Huang, Qitao
    Han, Junwei
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 3786 - 3790
  • [6] LOD-based clustering techniques for efficient large-scale terrain storage and visualization
    Bao, XH
    Pajarola, R
    VISUALIZATION AND DATA ANALYSIS 2003, 2003, 5009 : 225 - 235
  • [7] Terrain-Adaptive Longitudinal Control for Autonomous Trucks
    Xiong, Xiaoyu
    Tian, Bin
    Zhang, Rui
    Sun, Yang
    Chen, Long
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 4375 - 4380
  • [8] A Large-Scale Terrain Rendering Method With GPU-Based Geometry Compression
    Ge, Zihou
    Li, Wenhui
    FUTURE INFORMATION TECHNOLOGY, 2011, 13 : 208 - 212
  • [9] Image Overlapping Technique without Model for Large LoD Terrain Based on GPU
    Han Yuanli
    Chen Yanping
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4792 - 4796
  • [10] GPU-based adaptive data reconstruction for large-scale statistical visualization
    Wu, Yu
    Yang, Yang
    Cao, Yi
    JOURNAL OF VISUALIZATION, 2023, 26 (04) : 899 - 915