移动增强现实中物理场景和虚拟对象的差异化处理

Chih-Hsuan Yen, Wei-Ming Chen, P. Hsiu, Tei-Wei Kuo
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引用次数: 2

摘要

运行增强现实应用程序的移动设备对于图形密集型工作负载消耗相当大的能量。本文提出了一种根据不同的感知质量指标对摄像机捕获的物理场景和计算机生成的虚拟对象进行差异化处理的方案。我们提出了在线算法及其实时实现,通过动态帧率适应来降低能耗,同时保持增强现实应用所需的视觉质量。为了评估系统的有效性,我们将我们的方案集成到Android中,并在商用智能手机上进行了广泛的实验,并提供了各种应用场景。结果表明,与Android的原生图形系统相比,该方案在保持满意的视觉质量的同时,可以实现高达39.1%的节能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Differentiated Handling of Physical Scenes and Virtual Objects for Mobile Augmented Reality
Mobile devices running augmented reality applications consume considerable energy for graphics-intensive workloads. This paper presents a scheme for the differentiated handling of camera-captured physical scenes and computer-generated virtual objects according to different perceptual quality metrics. We propose online algorithms and their real-time implementations to reduce energy consumption through dynamic frame rate adaptation while maintaining the visual quality required for augmented reality applications. To evaluate system efficacy, we integrate our scheme into Android and conduct extensive experiments on a commercial smartphone with various application scenarios. The results show that the proposed scheme can achieve energy savings of up to 39.1% in comparison to the native graphics system in Android while maintaining satisfactory visual quality.
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