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Hierarchical Face Cluster Partitioning of Polygonal Surfaces and High-Speed Rendering

机译:多边形表面的分层人脸聚类划分和高速渲染

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摘要

A computer's rendering capacity cannot handle the increased amount of data when rendering high-quality, three-dimensional computer graphic images. This results in problems such as rendering not being possible depending on the subject image, or the rendering speed dropping too far. To resolve these problems, we propose a method for generating a new hierarchical three-dimensional data structure based on recursive face cluster partitioning, and a high-speed rendering data extraction algorithm using that data structure. In the proposed algorithm, local resolution control using the approximating polygon of a face cluster, and precise invisible surface culling using the bounding volume of the face cluster can be executed in parallel. High-speed rendering can be performed with little deterioration in quality, even for a large amount of data. The effectiveness of this algorithm was confirmed with a local resolution control experiment and a large-scale three-dimensional model rendering experiment.
机译:渲染高质量的三维计算机图形图像时,计算机的渲染能力无法处理增加的数据量。这导致诸如无法根据被摄对象图像进行渲染或渲染速度下降得太远的问题。为了解决这些问题,我们提出了一种基于递归人脸簇分区生成新的分层三维数据结构的方法,以及使用该数据结构的高速渲染数据提取算法。在提出的算法中,可以并行执行使用脸部簇的近似多边形的局部分辨率控制,以及使用脸部簇的边界体积进行精确的不可见表面剔除。即使对于大量数据,也可以在几乎不降低质量的情况下执行高速渲染。通过局部分辨率控制实验和大规模的三维模型渲染实验证实了该算法的有效性。

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