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
Link To Document :
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