Rapid eyebox measurement for augmented reality waveguides.

Area of Science:

• Optics and Display Technology
• Human-Computer Interaction
• Metrology

Background:

• Eyebox performance is critical for evaluating augmented reality (AR) and virtual reality (VR) eyewear.
• Traditional methods for mapping 3D eyeboxes are time-consuming and require extensive data.
• Accurate eyebox measurement is essential for optimal user experience in immersive displays.

Purpose of the Study:

• To propose a novel, rapid, and accurate method for measuring the eyebox of AR/VR displays.
• To develop a technique that simulates human eye characteristics for realistic performance assessment.
• To establish a potential new metrology standard for the display industry.

Main Methods:

• Utilized a specialized lens to simulate human eye characteristics (pupil position, size, field of view).
• Employed single image capture with the simulated eye to represent display performance.
• Combined a minimum of two image captures to determine the complete 3D eyebox geometry.

Main Results:

• Achieved rapid and accurate measurement of AR/VR eyeboxes.
• The proposed method's accuracy is comparable to slower, conventional techniques.
• Demonstrated the ability to characterize eyewear performance from a human user's perspective.

Conclusions:

• The new method offers a significantly faster and more efficient way to measure eyebox performance.
• This approach provides accurate geometric data of the eyebox using minimal image captures.
• The technique holds potential as a standardized metrology tool for AR/VR display evaluation.