Automated Calibration Method for Non-See-Through Head Mounted Displays
Author Information
Author(s): Gilson Stuart J., Fitzgibbon Andrew W., Glennerster Andrew
Primary Institution: Department of Physiology, Anatomy and Genetics, University of Oxford
Hypothesis
Can we develop a reliable and quick calibration method for non-see-through head mounted displays (HMDs) that does not rely on error-prone human judgments?
Conclusion
The proposed calibration method for non-see-through HMDs is quick, reliable, and produces low reprojection errors without requiring human intervention.
Supporting Evidence
- The method allows for the collection of large numbers of samples for calibration data.
- Calibration accuracy was quantified as the root-mean-square reprojection error.
- The method does not require error-prone human measurements.
Takeaway
This study shows a new way to make sure virtual reality headsets show things correctly without needing people to guess where things should be.
Methodology
The method involves capturing images of a grid displayed in the HMD and using a camera to track a calibration object in multiple positions to estimate the HMD's intrinsic and extrinsic parameters.
Potential Biases
Potential biases may arise from the fixed camera position and the assumption that the camera coordinates can be accurately mapped to HMD coordinates.
Limitations
The calibration may not be as accurate for see-through HMDs and relies on the camera being fixed during the calibration process.
Digital Object Identifier (DOI)
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