Abstract

In virtual reality devices, positioning virtual information onto the real‐world scene accurately has always been a challenge. Such performance feature has been widely requiring high precision in vehicle HUD navigation, AR surgery, industrial production assembly and maintenance, and so on. For applications such as surgical use and assembly in the industry, positioning accuracy is essential to evaluate and measure. The accuracy of virtual image positioning depends on the imaging lens, the combiner optics, eye position, etc., and showing the individual parameters of each component is often not adequate to demonstrate the actual performance of the product. As such, the measurement that simulates the human eye under actual product use conditions is crucial for achieving accurate measurement. In this paper, we use a high‐angular resolution 2D imaging luminance meter that mimics the optics of the human eye, together with a two‐axis goniometer, to achieve precise measurement of positioning accuracy. This paper further analyzes the positioning accuracy based on the measurements around both the eye pupil center and eyeball rotation center. In addition, the effects of the applications of the positioning uncertainty were studied.

Full Text
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