• DocumentCode
    73904
  • Title

    Enhanced Natural Visual Perception for Augmented Reality-Workstations by Simulation of Perspective

  • Author

    Radkowski, Rafael ; Oliver, J.

  • Author_Institution
    Virtual Reality Applic. Center, Iowa State Univ., Ames, IA, USA
  • Volume
    10
  • Issue
    5
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    333
  • Lastpage
    344
  • Abstract
    A novel method is presented for enhancing the natural visual perception afforded by augmented reality (AR) workstations. The approach incorporates a method for simulating perspective viewing using a monitor-based AR workstation that acts as a window to the physical workspace in front of it. Although similar AR workstations are often used in industry, they do not provide natural visual perception. By incorporating user head tracking and a spherical mirror, the method proposed enhances visual perception by simulating the depth cue of perspective viewing. The method interactively adjusts the viewing parameters to provide accurate perspective viewing of both the video stream (representing the physical environment) as well as the virtual objects superimposed within it. Hence, the user gains the impression of 3D viewing of the entire AR scene when moving ones head in front of the monitor. This paper describes the hardware setup and the method for perspective simulation within an AR software application. Finally, an experimental evaluation of the accuracy of the system is described to demonstrate the feasibility of the approach.
  • Keywords
    augmented reality; human computer interaction; workstations; 3D viewing; AR scene; AR software application; augmented reality workstations; monitor-based AR workstations; natural visual perception; perspective simulation; perspective viewing; spherical mirror; user head tracking; video stream; Cameras; Face; Monitoring; Rendering (computer graphics); Solid modeling; Three-dimensional displays; Augmented reality (AR); human–computer interaction; perspective simulation;
  • fLanguage
    English
  • Journal_Title
    Display Technology, Journal of
  • Publisher
    ieee
  • ISSN
    1551-319X
  • Type

    jour

  • DOI
    10.1109/JDT.2014.2299978
  • Filename
    6720163