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Efficient approximate computation of scene visibility based on navigation meshes and applications for navigation and scene analysis

机译:基于导航网格的场景可见性的高效近似计算及其在导航和场景分析中的应用

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Scene visibility-the information of which parts of the scene are visible from a certain location-can be used to derive various properties of a virtual environment. For example, it enables the computation of viewpoint quality to determine the informativeness of a viewpoint, helps in constructing virtual tours, and allows to keep track of the objects a user may already have seen. However, computing visibility at runtime may be too computationally expensive for many applications, while sampling the entire scene beforehand introduces a costly precomputation step and may include many samples not needed later on. Therefore, in this paper, we propose a novel approach to precompute visibility information based on navigation meshes, a polygonal representation of a scene's navigable areas. We show that with only limited precomputation, high accuracy can be achieved in these areas. Furthermore, we demonstrate the usefulness of the approach by means of several applications, including viewpoint quality computation, landmark and room detection, and exploration assistance. In addition, we present a travel interface based on common visibility that we found to result in less cybersickness in a user study.
机译:场景可见性-从某个位置可见场景的哪些部分的信息-可用于导出虚拟环境的各种属性。例如,它可以计算视点质量以确定视点的信息性,有助于构建虚拟游览,并允许跟踪用户可能已经看到的对象。但是,对于许多应用程序,运行时的计算可见性可能在计算上过于昂贵,而事先对整个场景进行采样会引入昂贵的预计算步骤,并且可能包含以后不需要的许多样本。因此,在本文中,我们提出了一种基于导航网格(场景可导航区域的多边形表示)的预先计算可见性信息的新颖方法。我们表明,仅需有限的预计算,即可在这些区域中实现高精度。此外,我们通过几种应用程序证明了该方法的有用性,包括视点质量计算,地标和房间检测以及探索辅助。此外,我们提供了一个基于常见可见性的旅行界面,我们发现在用户研究中它可以减少网络疾病。

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