Alignment method and system for near-to-eye detection system

Abstract

The invention discloses an alignment method and system for a near-to-eye detection system. The alignment method for the near-to-eye detection system comprises the steps of when a detection camera observes the center of a virtual target plate displayed by a near-to-eye display system through an inner hole of an aperture diaphragm, acquiring a detection image collected by the detection camera, wherein the inner hole of the aperture diaphragm is located in an eye box area of the near-to-eye display system; processing the detection image to obtain a pose adjustment signal of the detection camera;based on the pose adjustment signal of the detection camera, moving the detection camera to adjust the pose of the detection camera so as to enable the deviation between the camera center of the detection camera and the inner hole center of the aperture diaphragm or the target plate center of the virtual target plate is reduced; and repeatedly executing the acquiring step, the processing step andthe moving step until the camera center of the detection camera is aligned with the inner hole center of the aperture diaphragm and the target plate center of the virtual target plate.

Description

technical field [0001] The invention relates to the technical field of near-eye display systems, in particular to an alignment method and system for a near-eye detection system. Background technique [0002] In recent years, near-eye display systems such as virtual reality and augmented reality have created rich visual experiences for humans. Before putting into service, it is necessary to measure various detection indicators of the near-eye display system, such as field of view, distortion, brightness, brightness uniformity, chromaticity, chromaticity uniformity, resolution, resolution, contrast, etc., to test its products quality. [0003] When the existing near-eye detection system detects the near-eye display system, the near-eye display system to be tested is usually fixed, and the detection camera is moved to a designated position by a mechanical arm for measurement. However, the existing near-eye detection system has the following two problems: on the one hand, the ...

AI Technical Summary

Problems solved by technology

However, the existing near-eye detection system has the following two problems: on the one hand, the lens processing error of the near-eye display system and the installation error of the optical components will cause the near-eye display device itself to shift; Fixing will also generate certain uncertainties, which will cause the near-eye display system under test and the detection camera to be unable to align in parallel (that is, align), which will lead to a decrease in detection accuracy

Although the current alignment method can improve the detection accuracy of the near-eye detection system to a certain extent, the alignment error of the current alignment method has a great relationship with the initial position of the detection camera, and as the eye box of the near-eye display system With the expansion of the area (eyebox), the alignment error will also increase accordingly, which makes the current alignment method unable to improve the detection accuracy of the near-eye detection system to meet the market demand

Especially with the rapid development of the AR industry, people have put forward higher requirements for the imaging quality of the near-eye display system, and the eye box area of ​​the near-eye display system has also become larger, which will require the higher detection accuracy of the near-eye detection system The better, and the current alignment method is clearly unable to meet the requirements

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