A Holographic Single-Pixel Stereo Camera Sensor for Calibration-free Eye-Tracking in Retinal Projection Augmented Reality Glasses

Johannes Meyer, Tobias Wilm, Reinhold Fiess, T. Schlebusch, Wilhelm Stork, Enkelejda Kasneci
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引用次数: 1

Abstract

Eye-tracking is a key technology for future retinal projection based AR glasses as it enables techniques such as foveated rendering or gaze-driven exit pupil steering, which both increases the system’s overall performance. However, two of the major challenges video oculography systems face are robust gaze estimation in the presence of glasses slippage, paired with the necessity of frequent sensor calibration. To overcome these challenges, we propose a novel, calibration-free eye-tracking sensor for AR glasses based on a highly transparent holographic optical element (HOE) and a laser scanner. We fabricate a segmented HOE generating two stereo images of the eye-region. A single-pixel detector in combination with our stereo reconstruction algorithm is used to precisely calculate the gaze position. In our laboratory setup we demonstrate a calibration-free accuracy of 1.35° achieved by our eye-tracking sensor; highlighting the sensor’s suitability for consumer AR glasses.
用于视网膜投影增强现实眼镜眼球跟踪的全息单像素立体相机传感器
眼球追踪是未来基于视网膜投影的AR眼镜的关键技术,因为它可以实现注视点渲染或凝视驱动的出瞳控制等技术,这两者都可以提高系统的整体性能。然而,视频视觉系统面临的两个主要挑战是在眼镜打滑的情况下进行鲁棒的凝视估计,以及频繁校准传感器的必要性。为了克服这些挑战,我们提出了一种基于高透明全息光学元件(HOE)和激光扫描仪的新型,无需校准的AR眼镜眼动追踪传感器。我们制造了一个分割的HOE,产生了眼睛区域的两个立体图像。采用单像素检测器结合立体重建算法精确计算凝视位置。在我们的实验室设置中,我们展示了我们的眼动追踪传感器实现的1.35°的免校准精度;突出了该传感器适用于消费类AR眼镜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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