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http://dx.doi.org/10.3807/KJOP.2019.30.6.237

Full-field Distortion Measurement of Virtual-reality Devices Using Camera Calibration and Probe Rotation  

Yang, Dong-Geun (Space Optics Team, Advanced Instrumentation Institute, Korea Research Institute of Standards and Science)
Kang, Pilseong (Space Optics Team, Advanced Instrumentation Institute, Korea Research Institute of Standards and Science)
Ghim, Young-Sik (Space Optics Team, Advanced Instrumentation Institute, Korea Research Institute of Standards and Science)
Publication Information
Korean Journal of Optics and Photonics / v.30, no.6, 2019 , pp. 237-242 More about this Journal
Abstract
A compact virtual-reality (VR) device with wider field of view provides users with a more realistic experience and comfortable fit, but VR lens distortion is inevitable, and the amount of distortion must be measured for correction. In this paper, we propose two different full-field distortion-measurement methods, considering the characteristics of the VR device. The first is the distortion-measurement method using multiple images based on camera calibration, which is a well-known technique for the correction of camera-lens distortion. The other is the distortion-measurement method by measuring lens distortion at multiple measurement points by rotating a camera. Our proposed methods are verified by measuring the lens distortion of Google Cardboard, as a representative sample of a commercial VR device, and comparing our measurement results to a simulation using the nominal values.
Keywords
Virtual reality; Full field distortion; Curvature of field; Camera calibration;
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  • Reference
1 International Organization for Standardization, "Optics and photonics - Quality evaluation of optical systems - Determination of distortion," ISO 9039 (2008).
2 International Organization for Standardization, "Photography - Digital cameras - Geometric distortion (GD) measurements," ISO 17850 (2015).
3 J. Penczek, M. Hasan, B. S. Denning, R. Calpito, R. L. Austin, and P. A. Boynton, "31-2: Measuring interocular geometric distortion of near-eye displays," SID Symp. Dig. Tech. Pap. 50, 430-433 (2019).
4 Z. Zhang, "A flexible new technique for camera calibration," IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330-1334 (1999).   DOI
5 L. Tan, Y. Wang, H. Yu, and J. Zhu, "Automatic camera calibration using active displays of a virtual pattern," Sensors 17, 685 (2017).   DOI
6 S. B. Kang and R. Weiss, "Can we calibrate a camera using an image of a flat textureless Lamberian surface?," in Proc. Computer Vision - ECCV 2000 (Ireland, Dublin, June. 2000), pp. 640-654.
7 Google, "Google Cardboard I/O 2015 Technical Specification," (Google Cardboard, 2015), https://arvr.google.com/cardboard/manufacturers (2018).