一种3D虚拟显示畸变舒适度评价方法及系统

By using the OpenCV library and human factors performance testing methods, the distortion of 3D virtual display is quantified, solving the distortion control problem in existing technologies, realizing reliable evaluation and prediction of distortion comfort, and improving viewing comfort.

CN118298283BActive Publication Date: 2026-07-17FUDAN UNIVERSITY

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
FUDAN UNIVERSITY
Filing Date
2024-03-26
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively control distortion during 3D virtual display, leading to discomfort symptoms such as dizziness and fatigue. Furthermore, distortion correction methods primarily focus on the display end, failing to effectively control distortion during the acquisition and perception process.

Method used

By employing a keypoint linear interpolation method based on the OpenCV library and combining it with human factors performance testing, the objective and subjective levels of reflection are quantified by measuring distortion, calibration distortion values, and distortion test images, thus determining the distortion range for comfortable viewing.

Benefits of technology

It enables reliable and targeted evaluation of 3D virtual display distortion, accurately predicts comfort change trends, and reasonably defines the distortion comfort range, thereby improving viewing comfort.

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Abstract

本发明公开了一种3D虚拟显示畸变舒适度评价方法及系统,涉及虚拟现实技术领域,通过测量并获取目标3D虚拟显示的畸变;根据获取的畸变,确定待测的畸变范围;基于OpenCV库采用关键点线性插值的方法得到畸变测试人因绩效测试图片;测量图片对应的畸变并定标畸变值;利用人因绩效测试图片对被试者进行畸变绩效测试,得到客观反映水平和主观反映水平;基于客观反映水平和主观反映水平,量化总视觉疲劳,确定观看舒适的畸变范围。本发明不仅可以反应大众对于该显示器畸变的感受,具有较高可靠性,而且还能直观地反映显示的特性,并准确地预测舒适度的变化趋势,对所有需要测定的畸变对应舒适度做出预测,从而定义畸变舒适的范围与阈值。
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