Paper
19 November 2021 Exploring the limits of CLOVER: a multichannel optics for VR and MR
Author Affiliations +
Proceedings Volume 12078, International Optical Design Conference 2021; 1207802 (2021) https://doi.org/10.1117/12.2603610
Event: International Optical Design Conference - IODC 2021, 2021, Online Only
Abstract
Most virtual reality (VR) headsets nowadays use conventional, rotationally symmetric optics to create a wide field of view (FOV > 90°) virtual scene enabling the required “immersion” or “presence” feeling. These optics require a long total track length (TTL, distance between the actual panel displaying the contents and user’s pupil) to work well, and headsets become very bulky. The so-called CLOVER is an optic, compatible with VR and video-see-through mixed reality (MR) able to work around the TTL problem by using a freeform multi-channel, light folding approach. In its simplest version, it can reduce the TTL down to a half, compared to conventional solutions, for the same FOV and angular resolution. Along with a review of the original 4-channel CLOVER, this work shows recent results of upscale versions of the optic that utilize myopia and color correction, pupil tracking and staggered surfaces to, respectively, avoid the need of prescription lenses, improve the image quality for all colors, rise the resolution (by a 20%) and reduce the size (20% TTL reduction) of the precursor.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rubén Mohedano, P. Benítez, D. Grabovičkić, P. Zamora, M. Nikolic, M. Buljan, J. C. Miñano, E. Sanchez, J. Chaves, J. López, E. Pérez, J. Vilaplana, and J. C. González "Exploring the limits of CLOVER: a multichannel optics for VR and MR", Proc. SPIE 12078, International Optical Design Conference 2021, 1207802 (19 November 2021); https://doi.org/10.1117/12.2603610
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KEYWORDS
Virtual reality

Image segmentation

Channel projecting optics

Freeform optics

Image resolution

Data transmission

Mixed reality

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