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dc.contributor.advisorStavness, Ian
dc.creatorWagemakers, Andrew J 1993-
dc.date.accessioned2018-01-15T17:58:05Z
dc.date.available2018-01-15T17:58:05Z
dc.date.created2018-04
dc.date.issued2018-01-15
dc.date.submittedApril 2018
dc.identifier.urihttp://hdl.handle.net/10388/8344
dc.description.abstractHead-tracked 3D displays can provide a compelling 3D effect, but even small inaccuracies in the calibration of the participant’s viewpoint to the display can disrupt the 3D illusion. We propose a novel interactive procedure for a participant to easily and accurately calibrate a head-tracked display by visually aligning patterns across a multi-screen display. Head-tracker measurements are then calibrated to these known viewpoints. We conducted a user study to evaluate the effectiveness of different visual patterns and different display shapes. We found that the easiest to align shape was the spherical display and the best calibration pattern was the combination of circles and lines. We performed a quantitative camera-based calibration of a cubic display and found visual calibration outperformed manual tuning and generated viewpoint calibrations accurate to within a degree. Our work removes the usual, burdensome step of manual calibration when using head-tracked displays and paves the way for wider adoption of this inexpensive and effective 3D display technology.
dc.format.mimetypeapplication/pdf
dc.subjectFish Tank VR
dc.subjectCalibration
dc.subjectHead Tracking
dc.subjectVisual Preception
dc.titleCalibration Methods for Head-Tracked 3D Displays
dc.typeThesis
dc.date.updated2018-01-15T17:58:05Z
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.Sc.)
dc.type.materialtext
dc.contributor.committeeMemberGutwin, Carl
dc.contributor.committeeMemberMandryk, Regan
dc.contributor.committeeMemberMaw, Sean


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