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首页> 外文期刊>Journal of visual communication & image representation >Quantitative analysis of visibility determinations for networked virtual environments
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Quantitative analysis of visibility determinations for networked virtual environments

机译：联网虚拟环境的可见性确定的定量分析

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摘要

The Area-Of-Interest (AOI) model is a simple and popular technique used in many applications to determine the region which needs to be considered and processed for each entity (e.g., user). One example application is object visibility determination around user-representing avatars in virtual environments or networked games. There exist a number of variations of the AOI model and in our prior work we have demonstrated how object-oriented visibility determination is more suitable for networked virtual environments than conventional user-oriented visibility determination. Here we extend our work to study a unified and comprehensive analytical model that reveals fundamental properties about the different visibility determination techniques under a variety of virtual environment settings. We also present what the best operational scenarios are for each different approach. Although our discussion and analytical results are focused on the visibility domain, the arguments and conclusions can be extended to various applications or services where spatial attributes are required.
机译：兴趣区域（AOI）模型是一种简单且流行的技术，在许多应用程序中用于确定每个实体（例如用户）需要考虑和处理的区域。一个示例应用是围绕虚拟环境或网络游戏中用户表示化身的对象可见性确定。 AOI模型存在多种变体，在我们先前的工作中，我们证明了面向对象的可见性确定比常规的面向用户的可见性确定如何更适合于网络虚拟环境。在这里，我们将工作扩展到研究一个统一而全面的分析模型，该模型揭示了在各种虚拟环境设置下有关不同可见性确定技术的基本属性。我们还介绍了每种不同方法的最佳操作方案。尽管我们的讨论和分析结果集中在可见性领域，但是可以将论点和结论扩展到需要空间属性的各种应用程序或服务。

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