Abstract

Visualization of large dynamic scenes is a challenging computer graphics problem. There are many approaches to solving this problem: frustum culling, occlusion culling, geometry simplification, and rendering optimization. One of the effective methods is the levels of detail (LOD) for scene objects. For large scenes, the hierarchical LOD (HLOD), whereby the levels of detail are created for large groups of objects, has proven efficient. However, this method faces certain difficulties when processing dynamic scenes. In this paper, we propose a method for visualizing scenes with deterministic dynamics that is based on hierarchical dynamic levels of detail (HDLOD). We also describe methods for generating HDLOD clusters and their visualization. Results of computational experiments conducted confirm high efficiency and practical potential of the proposed method.

中文翻译：

---

使用确定性动力学可视化大型场景

摘要

大型动态场景的可视化是一个具有挑战性的计算机图形问题。解决此问题的方法有很多：截头锥体剔除，遮挡剔除，几何简化和渲染优化。一种有效的方法是场景对象的细节级别（LOD）。对于大型场景，事实证明，通过分层LOD（HLOD）可以为大型对象组创建细节级别。但是，该方法在处理动态场景时面临一定的困难。在本文中，我们提出了一种基于层次化动态细节级别（HDLOD）的具有确定性动态的场景可视化方法。我们还将描述用于生成HDLOD群集的方法及其可视化。