Laser & Optoelectronics Progress, Volume. 59, Issue 20, 2011017(2022)

Field Depth Based Virtual Image Viewing Distance Measurement in Augmented Reality Optical System

Fangxu Tian and Jun Zhang*
Author Affiliations
  • Guangzhou Key Laboratory of Visible Light Communication, College of Science and Engineering, Jinan University, Guangzhou 510632, Guangdong, China
  • show less

    Due to their subjective nature, conventional virtual image viewing distance (VID) measurement methods in AR optical systems are easily disturbed by field depth of the photography system. To mitigate this issue, this study proposes a method to stabilize object distances between virtual images and actual reference objects using the field depth property based on the measurement principle of VID. In our experimental analysis, the edge-based spatial frequency response is used to measure the relative change of image sharpness in shooting virtual images and reference objects by the same photography system. During this process, the VID is converted into view distance at the corresponding focus position, and a corresponding quantitative measurement is returned. Experimental results show that the VID measurement result generated in this study (1397 mm) matches the theoretical design value of the AR waveguide lens sample (1400 mm), which demonstrates the measurement system's validity. Furthermore, a measurement error of 10-40 mm is observed, which is 1.6%-6.45% of that generated by conventional measurement methods. Because this method enables VID measurement in common experimental optical systems, it is highly applicable across AR-equipped devices, which in turn should help advance these devices' design and production.

    Tools

    Get Citation

    Copy Citation Text

    Fangxu Tian, Jun Zhang. Field Depth Based Virtual Image Viewing Distance Measurement in Augmented Reality Optical System[J]. Laser & Optoelectronics Progress, 2022, 59(20): 2011017

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Mar. 21, 2022

    Accepted: Jun. 28, 2022

    Published Online: Oct. 11, 2022

    The Author Email: Zhang Jun (Tzhangjun_oe@jnu.edu.cn)

    DOI:10.3788/LOP202259.2011017

    Topics