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Real-time Simulation of Human Vision using Temporal Compositing with CUDA on the GPU

dc.contributor.authorNießner, Matthias
dc.contributor.authorKuhnert, Nadine
dc.contributor.authorSelgrad, Kai
dc.contributor.authorStamminger, Marc
dc.contributor.authorMichelson, Georg
dc.date.accessioned2017-06-29T21:44:19Z
dc.date.available2017-06-29T21:44:19Z
dc.date.issued2013
dc.description.abstractWe present a novel approach that simulates human vision including visual defects such as glaucoma by temporal composition of human vision in real-time on the GPU. Thereforewe determine eye focus points every time step and adapt the lens accommodation of our virtual eye model accordingly. The focal distance is then used to determine bluriness of observed scene regions; i.e.we compute defocus for all visible pixels. In order to simulate the visual memory we introduce a sharpness field where we integrate defocus values temporally. That allows for memorizing sharply perceived scene points. For visualizationwe ray trace the virtual scene environment while incorporating depth of field based on the sharpness field data. Thusour al- gorithm facilitates the simulation of human vision mimicing the visual memory. We consider this to be particularly useful for illustration purposes for patients with vi- sual defects such as glaucoma. In order to run our algorithm in real-time we employ massively parallel graphics hardware.en
dc.identifier.pissn0177-0454
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Fachgruppe PARS
dc.relation.ispartofPARS-Mitteilungen: Vol. 30, Nr. 1
dc.titleReal-time Simulation of Human Vision using Temporal Compositing with CUDA on the GPUen
dc.typeText/Journal Article
gi.citation.publisherPlaceBerlin

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