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Published on: April 18, 2019
An automated calibration method for non-see-through head mounted displays
Stuart J Gilson1, Andrew W Fitzgibbon, Andrew Glennerster
1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK. stuart.gilson@physiol.ox.ac.uk
Journal of Neuroscience Methods
|May 31, 2011
Summary
This study presents a novel method for calibrating non-see-through head mounted displays (HMDs), crucial for visual system research and virtual reality. The technique achieves accurate HMD calibration with reduced errors and no human judgment.
Area of Science:
- Computer Vision
- Human-Computer Interaction
- Virtual Reality
Background:
- Accurate head mounted display (HMD) calibration is vital for visual system research and realistic virtual object interaction.
- Current calibration methods are time-consuming, prone to human error, and often restricted to optical see-through HMDs.
Purpose of the Study:
- To develop and validate a method for calibrating non-see-through HMDs.
- To improve the accuracy and efficiency of HMD calibration by removing reliance on human judgment.
Main Methods:
- A camera placed inside the HMD captures a displayed grid pattern.
- The camera, fixed in position after HMD removal, captures images of a tracked calibration object.
- Camera calibration techniques are applied to recover HMD intrinsic and extrinsic parameters.
Main Results:
- The method successfully calibrated a non-see-through HMD.
- Low reprojection errors were achieved, indicating high calibration accuracy.
- The new method eliminates the need for subjective human judgments.
Conclusions:
- This approach offers an accurate and efficient method for calibrating non-see-through HMDs.
- The technique enhances the reliability of HMD calibration for research and virtual reality applications.
