• DocumentCode
    1756790
  • Title

    Perceptual Calibration for Immersive Display Environments

  • Author

    Ponto, Kevin ; Gleicher, Michael ; Radwin, Robert G. ; Hyun Joon Shin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Wisconsin, Madison, WI, USA
  • Volume
    19
  • Issue
    4
  • fYear
    2013
  • fDate
    41365
  • Firstpage
    691
  • Lastpage
    700
  • Abstract
    The perception of objects, depth, and distance has been repeatedly shown to be divergent between virtual and physical environments. We hypothesize that many of these discrepancies stem from incorrect geometric viewing parameters, specifically that physical measurements of eye position are insufficiently precise to provide proper viewing parameters. In this paper, we introduce a perceptual calibration procedure derived from geometric models. While most research has used geometric models to predict perceptual errors, we instead use these models inversely to determine perceptually correct viewing parameters. We study the advantages of these new psychophysically determined viewing parameters compared to the commonly used measured viewing parameters in an experiment with 20 subjects. The perceptually calibrated viewing parameters for the subjects generally produced new virtual eye positions that were wider and deeper than standard practices would estimate. Our study shows that perceptually calibrated viewing parameters can significantly improve depth acuity, distance estimation, and the perception of shape.
  • Keywords
    distance measurement; virtual reality; depth acuity; depth perception; distance estimation; distance perception; geometric model; immersive display environments; object perception; perceptual calibration procedure; perceptually calibrated viewing parameter; physical environment; shape perception; virtual environment; virtual reality; Calibration; Cameras; Estimation; Shape; Solid modeling; Virtual environments; Virtual reality; calibration; depth compression; distance estimation; perception; shape perception; stereo vision displays.; Adult; Aged; Algorithms; Calibration; Computer Graphics; Female; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Male; Middle Aged; Reproducibility of Results; Sensitivity and Specificity; Task Performance and Analysis; User-Computer Interface; Visual Perception;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2013.36
  • Filename
    6479210