数字影视技术

VR 影像深度跳跃与观众感知反应时间的模型构建

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  • 1.上海大学 上海电影学院, 上海 200072
    2.上海大学 上海电影特效工程技术研究中心, 上海 200072

收稿日期: 2019-09-16

  网络出版日期: 2019-09-16

Modelling of deep jump and audience perception reaction time in virtual reality images

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  • 1. Shanghai Film Academy, Shanghai University, Shanghai 200072, China
    2. Shanghai Film Special Effects Engineering Technology Research Center, Shanghai University, Shanghai 200072, China

Received date: 2019-09-16

  Online published: 2019-09-16

摘要

为了探索虚拟现实(virtual reality, VR)影像中深度跳跃对人体视觉系统的影响, 提出了一个新型深度感知模型, 研究了基于 HTC Vive 头戴显示器的视差变化对深度感知的影响, 揭示了跳跃视差变化条件下的感知规律. 实验结果表明: 反应时间与视差变化的绝对值成正比; 逼近视角的视差跳变反应时间较长; 目标深度和深度变化与生理舒适度呈负相关, 深度变化与情绪影响力呈正相关. 将模型应用于实际影像的创作与评估, 可以得到基于水平视差的剪辑后逐像素反应时间分布图.

本文引用格式

田丰, 戴帅凡, 张焱 . VR 影像深度跳跃与观众感知反应时间的模型构建[J]. 上海大学学报(自然科学版), 2020 , 26(5) : 702 -714 . DOI: 10.12066/j.issn.1007-2861.2177

Abstract

A new depth perception model was developed to investigate the effect of deep jump on the human visual system in virtual reality images. In addition, the effect of parallax change on depth perception based on HTC Vive head-mounted display was evaluated, and the variation of the perception with jump parallax was analysed. The experimental results showed that the reaction time was proportional to the absolute value of parallax change. Furthermore, the parallax transition response time of the approaching angle of view was longer, the target depth and depth variations were negatively correlated with the physiological comfort, and the variation in the depth was positively correlated with the emotional influence. The model was applied to the creation and evaluation of actual images, and a pixel-by-pixel reaction time distribution map based on horizontal parallax was obtained.

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