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Highly parallelized rendering of the retinal image through a computer-simulated human eye for the design of virtual reality head-mounted displays

Vu, Con Tran; Stock, Simon C. ORCID iD icon; Fan, Lintao T.; Stork, Wilhelm

Abstract (englisch):

For long, the VR optics designer has been taking advantage of the fact that the eye is not optically perfect and striving towards creating “perfectly imperfect” VR optics. These cheaper and lighter lens systems could have high off-axis aberration, but with negligible impact on visual quality. A good way to test and validate these designs could be simulating the rendered image of the pixel array on the retina. Earlier attempts used the principle of virtual ray tracing, which is inherently a Monte Carlo method and therefore subjects to noise at sharp transition edges. Furthermore, this approach cannot render the Point Spread Function (PSF). We took the reverse approach of physical ray tracing. Rays are generated from each illuminating point and traced forward to the retina. After the tracing process, each light source point generates a number of ray-retina intersections. We propose a novel rasterization algorithm to render the radiometric image on the virtual retina. For the radiometric-correct determination of pixel value, we used the Intersection-over-Area metric. This metric is an indicator for how much the back-projected area of each retinal cell overlaps the triangle formed by the cone of light flux falling on the retina. ... mehr

DOI: 10.1117/12.2555872
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 04.2020
Sprache Englisch
Identifikator KITopen-ID: 1000119014
Erschienen in Online SPIE Photonics Europe, 6 - 10 April 2020 - Optics, Photonics and Digital Technologies for Imaging Applications. Vol.: VI. Ed.: P. Schelkens
Verlag Society of Photo-optical Instrumentation Engineers (SPIE)
Seiten 1135316 / 21 S.
Serie Proceedings of SPIE ; 11353
Nachgewiesen in Dimensions
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