Quantifiable Fine-Grain Occlusion Removal Assistance for Efficient VR Exploration

计算机科学 闭塞 残余物 虚拟现实 模拟病 观点 可视化 计算机视觉 体素 人工智能 光学头戴式显示器 人机交互 计算机图形学(图像) 算法 医学 艺术 心脏病学 视觉艺术
作者
Jian Wu,Lili Wang,Hui Zhang,Voicu Popescu
出处
期刊:IEEE Transactions on Visualization and Computer Graphics [Institute of Electrical and Electronics Engineers]
卷期号:28 (9): 3154-3167 被引量:3
标识
DOI:10.1109/tvcg.2021.3053287
摘要

This article presents an occlusion management approach that handles fine-grain occlusions, and that quantifies and localizes occlusions as a user explores a virtual environment (VE). Fine-grain occlusions are handled by finding the VE region where they occur, and by constructing a multiperspective visualization that lets the user explore the region from the current location, with intuitive head motions, without first having to walk to the region. VE geometry close to the user is rendered conventionally, from the user's viewpoint, to anchor the user, avoiding disorientation and simulator sickness. Given a viewpoint, residual occlusions are quantified and localized as VE voxels that cannot be seen from the given viewpoint but that can be seen from nearby viewpoints. This residual occlusion quantification and localization helps the user ascertain that a VE region has been explored exhaustively. The occlusion management approach was tested in three controlled studies, which confirmed the exploration efficiency benefit of the approach, and in perceptual experiments, which confirmed that exploration efficiency does not come at the cost of reducing spatial awareness and sense of presence, or of increasing simulator sickness.
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