Access Restriction

Author Benjamin T. Backus, A. ♦ Martin S. Banks, A. ♦ Raymond Van Ee, A. ♦ James A. Crowell, D.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Eye Position ♦ Vertical Disparity ♦ Stereoscopic Slant Perception ♦ Stereoscopic Estimate ♦ Horizontal Disparity ♦ Short Stimulus ♦ Perspective Estimate ♦ Observer Slant Estimate ♦ Unambiguous Estimate ♦ Weighted Combination ♦ Perceived Slant ♦ Vertical Size Ratio ♦ Human Observer Use ♦ Horizontal Size Ratio ♦ Visual System ♦ Slant Estimate ♦ Defined Surface Cannot ♦ Useful Signal ♦ Vertical Line ♦ Measured Horizontal Disparity ♦ Perspective Slant Cue ♦ Perspective Cue ♦ Horizontal Gradient ♦ Weighted Average ♦ Stereoscopic Mean ♦ Visual System Relies
Abstract The slant of a stereoscopically defined surface cannot be determined solely from horizontal disparities or from derived quantities such as horizontal size ratio (HSR). There are four other signals that, in combination with horizontal disparity, could in principle allow an unambiguous estimate of slant: the vergence and version of the eyes, the vertical size ratio (VSR), and the horizontal gradient of VSR. Another useful signal is provided by perspective slant cues. The determination of perceived slant can be modeled as a weighted combination of three estimates based on those signals: a perspective estimate, a stereoscopic estimate based on HSR and VSR, and a stereoscopic estimate based on HSR and sensed eye position. In a series of experiments, we examined human observers ’ use of the two stereoscopic means of estimation. Perspective cues were rendered uninformative. We found that VSR and sensed eye position are both used to interpret the measured horizontal disparities. When the two are placed in conflict, the visual system usually gives more weight to VSR. However, when VSR is made difficult to measure by using short stimuli or stimuli composed of vertical lines, the visual system relies on sensed eye position. A model in which the observer’s slant estimate is a weighted average of the slant estimate based on HSR and VSR and the one based on HSR and eye position accounted well for the data. The weights varied across viewing conditions because the informativeness of the signals they employ vary from one
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 1998-01-01