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Quantifiable Fine-Grain Occlusion Removal Assistance for Efficient VR Exploration

  • Jian Wu
  • , Lili Wang*
  • , Hui Zhang
  • , Voicu Popescu
  • *此作品的通讯作者
  • Beihang University
  • Peng Cheng Laboratory
  • Purdue University

科研成果: 期刊稿件文章同行评审

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.

源语言英语
页(从-至)3154-3167
页数14
期刊IEEE Transactions on Visualization and Computer Graphics
28
9
DOI
出版状态已出版 - 1 9月 2022

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