A real-time rendering method based on precomputed hierarchical levels of detail in huge dataset

Kai Zhou, Feng Tian, Zhong Ren, Hao Guo
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引用次数: 2

Abstract

Traditional preprocessing methods such as discrete LOD or continuous LOD is inapplicable to large dataset consists of huge amount of models. Division granularity of discrete LOD is coarse while continuous LOD is time-consuming. Real-time rendering is a challenging and open problem to solve. A real-time rendering method to solve preprocessing problem in huge dataset based on pre-computed hierarchical levels of detail is proposed by different granularity and hierarchy division. Experimental result shows that the proposed method is more suitable for huge dataset.
一种基于预先计算的大数据集细节层次的实时绘制方法
传统的离散LOD或连续LOD预处理方法不适用于由大量模型组成的大型数据集。离散LOD划分粒度粗,连续LOD划分耗时长。实时渲染是一个具有挑战性和开放性的问题。提出了一种基于预先计算细节层次的实时绘制方法,通过不同的粒度和层次划分来解决海量数据集的预处理问题。实验结果表明,该方法更适合大型数据集。
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