Quality control of AR/VR near-eye displays: goniometric vs. advanced 2D imaging light measurements

Tobias Steinel; Dmitrijs Opalevs; Ferdinand Deger; Roland Schanz; Martin Wolf

doi:10.1117/12.2584158

27 March 2021 Quality control of AR/VR near-eye displays: goniometric vs. advanced 2D imaging light measurements

Tobias Steinel, Dmitrijs Opalevs, Ferdinand Deger, Roland Schanz, Martin Wolf

Proceedings Volume 11765, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) II; 117650Y (2021) https://doi.org/10.1117/12.2584158
Event: SPIE AR VR MR, 2021, Online Only

Conference Poster

Abstract

Light measurement devices (LMD) are essential tools for developing novel display technologies as well as for quality assurance in display mass production. More complex displays, e.g. near-eye displays (NEDs), might require various LMDs in different development and production phases. Here we demonstrate the benefit and seamless use of complementary measurement principles and LMDs due to an absolute and traceable calibration concept. Goniometric display analysis with full angular and spectral resolution complements with spectrally enhanced, fast 2D imaging measurements covering a wide range of display test applications from research and development to production. Experimental data from these measurement principles are compared, emphasizing luminance and chromaticity measurements, based on LCD and OLED displays of Virtual Reality (VR) headsets. A standard light source acts as a reference for these measurements. Absolute and traceable calibration is discussed with respect to accuracy and complementary characterization of the displays under test (DUT).

Conference Presentation

Citation Download Citation

Tobias Steinel, Dmitrijs Opalevs, Ferdinand Deger, Roland Schanz, and Martin Wolf "Quality control of AR/VR near-eye displays: goniometric vs. advanced 2D imaging light measurements", Proc. SPIE 11765, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) II, 117650Y (27 March 2021); https://doi.org/10.1117/12.2584158

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