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Improving perception in 3D stereoscopic disaster response environments.

机译:在3D立体灾难响应环境中改善感知。

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摘要

Enhancing depth perception accuracy in virtual environments is an important and ongoing area of study. This thesis examines the effectiveness of a variety of depth cues and graphics techniques on depth perception accuracy in minimized 3D virtual environments for effective disaster response.;For these studies, an application was developed that selectively applies various graphical techniques onto 3D terrain maps. Two experimental studies were conducted using a CAVE system with one wall to study the influence of depth cues and the proposed techniques on depth perception. These experiments revealed which techniques are most effective for improving perception in these minified 3D environments.;The preliminary study determined what types of techniques might be useful in disaster response environments. Based upon these results, grid line techniques were further developed to enhance perception in these scenes. Several variations of grid line techniques were developed, varying in convergence, style, and location in the virtual environment. The final experiment examined the effectiveness of the proposed techniques. Two techniques that improved depth perception accuracy include grid lines draped on top of the terrain and inverted grid lines floating above the terrain and converging behind the user. In particular, the draped grid line technique appeared to be effective; the draped grid line technique was liked by the participants in their post-experimental surveys.
机译:在虚拟环境中提高深度感知的准确性是一个重要且持续的研究领域。本文研究了在最小化的3D虚拟环境中,各种深度线索和图形技术对深度感知准确性的有效性,以进行有效的灾难响应。;针对这些研究,开发了一种将各种图形技术选择性地应用于3D地形图的应用程序。使用带有一壁的CAVE系统进行了两次实验研究,以研究深度线索和所提出的技术对深度感知的影响。这些实验揭示了在缩小的3D环境中哪种技术最有效地改善了人们的感知能力。初步研究确定了哪些类型的技术在灾难响应环境中可能有用。基于这些结果,进一步开发了网格线技术以增强在这些场景中的感知能力。开发了网格线技术的几种变体,它们在虚拟环境中的融合,样式和位置都不同。最终实验检查了所提出技术的有效性。改善深度感知准确性的两种技术包括:网格线叠在地形顶部,以及倒置的网格线浮在地形上方并在用户身后会聚。尤其是,悬垂网格线技术似乎很有效。参与者在实验后的调查中喜欢垂褶网格线技术。

著录项

  • 作者

    Hartzell, Tristan.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2013
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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