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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.

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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.

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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.