Real-time dynamic 3D geological visualization based on Octree-TEN

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Yu Han , Weiduo Xu , Pingan Liu , Xinyu Xu , Xi Duan , Bo Qin , Xinjie Wang
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引用次数: 0

Abstract

3D geological visualization offers extensive support for geographic information systems. Grid space division is a fundamental technique of 3D geological visualization. However, to our knowledge, the existing division structures give little consideration to the construction or simulation of physical processes; meanwhile, most physical systems only focus on the calculation of physical fields, failing to build indexes and control voxel units. To tackle these challenges, we propose a novel real-time dynamic 3D geological visualization method based on the Octree and Tetrahedral Network (Octree-TEN). Our method combines Octree-TEN with Position-based Dynamics (PBD) to achieve voxel-controllable PBD physical field calculations. Therefore, it is suitable for data-driven visualization of fractured-grid physical field calculations, such as landslide simulation. Furthermore, in the data pre-processing phase, i.e. the process of generating voxelized grids from raw data, we employ an enhanced Delaunay Triangulation method to improve efficiency. To build a practical visualization system, we optimize load balancing at the engine rendering stage and the Delaunay simplification stage, respectively. In the experiment, we dynamically visualize geological information containing nearly 2 million voxels, which reach 118.5 FPS on an NVIDIA GeForce 3060 GPU. It indicates that the proposed method is both effective and feasible. Moreover, our method has potential applications in other fields, such as geological disaster prediction, mineral resource exploration, and popular science education.
基于Octree-TEN的实时动态三维地质可视化
三维地质可视化为地理信息系统提供了广泛的支持。网格空间划分是三维地质可视化的一项基本技术。然而,据我们所知,现有的划分结构很少考虑物理过程的构建或模拟;同时,大多数物理系统只关注物理场的计算,没有建立索引和控制体素单位。为了解决这些问题,我们提出了一种基于八叉树和四面体网络(Octree- ten)的实时动态三维地质可视化方法。该方法将八叉树-十叉树与基于位置的动力学(PBD)相结合,实现体素可控的PBD物理场计算。因此,它适用于裂隙网格物理场计算的数据驱动可视化,如滑坡模拟。此外,在数据预处理阶段,即从原始数据生成体素网格的过程中,我们采用了一种增强的Delaunay三角剖分方法来提高效率。为了构建一个实用的可视化系统,我们分别在引擎渲染阶段和Delaunay简化阶段对负载平衡进行了优化。在实验中,我们动态可视化了包含近200万体素的地质信息,在NVIDIA GeForce 3060 GPU上达到了118.5 FPS。结果表明,该方法是有效可行的。此外,该方法在地质灾害预测、矿产资源勘查、科普教育等领域也有潜在的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Graphics-Uk
Computers & Graphics-Uk 工程技术-计算机:软件工程
CiteScore
5.30
自引率
12.00%
发文量
173
审稿时长
38 days
期刊介绍: Computers & Graphics is dedicated to disseminate information on research and applications of computer graphics (CG) techniques. The journal encourages articles on: 1. Research and applications of interactive computer graphics. We are particularly interested in novel interaction techniques and applications of CG to problem domains. 2. State-of-the-art papers on late-breaking, cutting-edge research on CG. 3. Information on innovative uses of graphics principles and technologies. 4. Tutorial papers on both teaching CG principles and innovative uses of CG in education.
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