Simultaneous Direct and Augmented View Distortion Calibration of Optical See-Through Head-Mounted Displays

Yuta Itoh, G. Klinker
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引用次数: 16

Abstract

In Augmented Reality (AR) with an Optical See-Through Head-Mounted Display (OST-HMD), the spatial calibration between a user's eye and the display screen is a crucial issue in realizing seamless AR experiences. A successful calibration hinges upon proper modeling of the display system which is conceptually broken down into an eye part and an HMD part. This paper breaks the HMD part down even further to investigate optical aberration issues. The display optics causes two different optical aberrations that degrade the calibration quality: the distortion of incoming light from the physical world, and that of light from the image source of the HMD. While methods exist for correcting either of the two distortions independently, there is, to our knowledge, no method which corrects for both simultaneously. This paper proposes a calibration method that corrects both of the two distortions simultaneously for an arbitrary eye position given an OST-HMD system. We expand a light-field (LF) correction approach [8] originally designed for the former distortion. Our method is camera-based and has an offline learning and an online correction step. We verify our method in exemplary calibrations of two different OST-HMDs: a professional and a consumer OST-HMD. The results show that our method significantly improves the calibration quality compared to a conventional method with the accuracy comparable to 20/50 visual acuity. The results also indicate that only by correcting both the distortions simultaneously can improve the quality.
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光学透明头戴式显示器的同时直接和增强视图畸变校准
在带有光学透明头戴式显示器(OST-HMD)的增强现实(AR)中,用户眼睛与显示屏之间的空间校准是实现无缝AR体验的关键问题。成功的校准取决于显示系统的正确建模,该系统在概念上分为眼睛部分和HMD部分。本文将HMD部分进一步分解,以研究光学像差问题。显示光学引起两种不同的光学像差,降低校准质量:来自物理世界的入射光的畸变,以及来自HMD图像源的光的畸变。虽然存在独立地纠正这两种扭曲的方法,但据我们所知,没有一种方法可以同时纠正这两种扭曲。本文提出了一种同时校正任意眼位两种畸变的校准方法。我们扩展了最初为前一种畸变设计的光场(LF)校正方法[8]。我们的方法是基于相机的,有一个离线学习和一个在线校正步骤。我们在两种不同的OST-HMD的示例校准中验证了我们的方法:专业OST-HMD和消费者OST-HMD。结果表明,与传统方法相比,我们的方法显著提高了校准质量,精度可达到20/50的视觉灵敏度。结果还表明,只有同时对两种畸变进行校正,才能提高图像质量。
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