Research on Fast Visibility Judgment Algorithms Based on n-Fork Tree

Shaowen Liao, Wanjie Wang, Lei Zhang
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Abstract

In this complex geometric environment, the graphical scene model tends to be diversified and complicated. To reduce the complexity of the model, it is necessary to make a fast visibility judgment before rendering the scene model and remove the important part of the real-time graphics display when the occluded elements are processed. A fast algorithm is proposed in this paper, which can deal with dynamic complex scenes. Real-time visibility judgment is made, and it is suitable for outdoor scenes with non-cavern structure. The algorithm organizes the whole scene with n-fork tree based on terrain using the idea of layering, and uses the double positioning method of linked list array to realize it. It not only saves the storage space effectively, but also locates the data nodes to be processed quickly, which greatly accelerates the process of view clipping and occlusion judgment.
基于n叉树的快速可见性判断算法研究
在这种复杂的几何环境中,图形场景模型趋于多样化和复杂化。为了降低模型的复杂性,需要在渲染场景模型之前进行快速的可见性判断,并在处理遮挡元素时去除实时图形显示的重要部分。本文提出了一种能够处理动态复杂场景的快速算法。实时进行可视性判断,适用于非洞穴结构的室外场景。该算法采用分层思想,基于地形用n叉树对整个场景进行组织,并采用链表数组的双定位方法实现。它不仅有效地节省了存储空间,而且能够快速定位待处理的数据节点,大大加快了视图裁剪和遮挡判断的过程。
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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