Exploring Eye Adaptation in Head-Mounted Display for Energy Efficient Smartphone Virtual Reality
Exploring Eye Adaptation in Head-Mounted Display for Energy Efficient Smartphone Virtual Reality
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DOI：
10.1145/3177102.3177121
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发表时间：
2018-02
期刊：
影响因子：
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通讯作者：
Zhisheng Yan;Chen Song;Feng Lin;Wenyao Xu
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文献类型：
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作者：
Zhisheng Yan;Chen Song;Feng Lin;Wenyao Xu
智能手机虚拟现实（VR）可以提供身临其境的体验，同时价格实惠且易于使用。为了在有限的智能手机计算和电池资源下增强VR体验，已经提出了用于高效渲染和内容交付的解决方案。然而，不幸的是，优化不同的头戴式显示器（HMD）的努力是有限的。本文揭示了通过在HMD中利用人类视觉来优化智能手机VR的机会。特别是，我们将VR视频/游戏应用程序中的默认固定全亮度转换为基于动态缩放亮度的暗适应。通过利用人眼在黑暗HMD中的时变敏感度，我们可以在保持亮度感知的同时降低VR显示能量。所提出的系统，Strix，是由一个黑暗的适应模型训练从经典的实验数据，来自黑暗的适应模型的感知全亮度的变化趋势，和一个平滑的亮度过渡方案平衡的能量和经验。实验结果表明，Strix可以实现25%的系统能耗降低，而不会对亮度感知产生负面影响。
Smartphone virtual reality (VR) can offer immersive experience while being affordable and easy to use. To enhance the VR experience under limited smartphone computation and battery resources, solutions have been proposed for efficient rendering and content delivery. However, efforts towards optimizing the distinct head-mounted display (HMD) are unfortunately limited. This paper unveils the opportunity of optimizing smartphone VR by leveraging human vision in HMD. In particular, we shift the default fixed full brightness in VR video/game Apps to a dark adaptation based dynamically scaled brightness. By exploiting the time-varying sensitivity of human eyes in dark HMD, we can reduce VR display energy while maintaining brightness perception. The proposed system, Strix, is empowered by a dark adaptation model trained from classic experimental data, a varying trend of perceptual full brightness derived from the dark adaptation model, and a smooth brightness transition scheme balancing energy and experience. Experimental results show that Strix can achieve 25% system energy reduction without negatively impacting brightness perception.