A Scalability Benchmark for a Virtual Audience Perception Model in Virtual Reality

Yann Glémarec, Anne-Gwenn Bosser, Cédric Buche, Jean-Luc Lugrin, Maximilian Landeck, Marc Erich Latoschik, Mathieu Chollet
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引用次数: 5

Abstract

In this paper, we describe the implementation and performance of a Virtual Audience perception model for Virtual Reality (VR). The model is a VR adaptation of an existing desktop model. The system allows a user in VR to easily build and experience a wide variety of atmospheres with small or large groups of virtual agents.The paper describes results of early evaluations for this model in VR. Our first scalability benchmark results demonstrated the ability to simultaneously handle one hundred virtual agents without significantly affecting there commended frame rate for VR applications.This research is conducted in the context of a classroom simulation software for teachers’ training.
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虚拟现实中虚拟受众感知模型的可扩展性基准
在本文中,我们描述了虚拟现实(VR)的虚拟观众感知模型的实现和性能。该模型是对现有桌面模型的VR改编。该系统允许用户在VR中轻松地建立和体验各种各样的小或大组虚拟代理的氛围。本文描述了该模型在VR中的早期评估结果。我们的第一个可伸缩性基准测试结果证明了同时处理100个虚拟代理的能力,而不会显著影响VR应用程序的推荐帧速率。本研究以教师培训课堂模拟软件为背景进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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