Point Based Representations for Hierarchical Environments

Kedarnath Thangudu, Lakshmi Gade, Jag Mohan Singh, P J Narayanan
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Abstract

The advent of advanced graphics technologies and improved hardware has enabled the generation of highly complex models with huge number of triangles. Point-based representations and rendering have emerged as viable representations for high-quality models in this scenario. These methods have been demonstrated only on high resolution, compact objects so far. They have to be adapted to environments that extend over large areas to be considered serious representations. In this paper, we present an adaptation of the point-based representation to large, hierarchical environments. We show how point-based data can be generated by sampling polygon-based representations. We also show the combination of an object hierarchy and multiresolution point representations and develop rendering algorithms for the same. The multiresolution representation is constructed during the generation process. We then show a hybrid representation in which the more complex portions of the environment are represented using points and others using the original polygon-based representation. This produces better rendering performance by keeping large, flat regions as triangles. We demonstrate the method on the model of the Fatehpur Sikri which has 14000 objects with over 500,000 triangles
基于点的分层环境表示
先进的图形技术和改进的硬件的出现使得生成具有大量三角形的高度复杂模型成为可能。在这种情况下,基于点的表示和渲染已经成为高质量模型的可行表示。到目前为止,这些方法只在高分辨率、紧凑的物体上得到了证明。它们必须适应大面积的环境,才能被认为是严肃的代表。在本文中,我们提出了一种基于点的表示适应于大的、分层的环境。我们展示了如何通过采样基于多边形的表示来生成基于点的数据。我们还展示了对象层次结构和多分辨率点表示的组合,并为此开发了渲染算法。在生成过程中构造多分辨率表示。然后,我们展示了一种混合表示,其中环境中更复杂的部分使用点表示,而其他部分使用原始的基于多边形的表示。通过将大而平坦的区域保持为三角形,可以产生更好的渲染性能。我们在Fatehpur Sikri模型上演示了该方法,该模型有14000个对象,超过500,000个三角形
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