From high dynamic range to perceptual realism

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• Rafal Mantiuk, Bangor University
• Monday 20 July 2015, 09:30-10:30
• Lecture Theatre 2, Computer Laboratory.

If you have a question about this talk, please contact Alan Blackwell.

Never before we had a prospect of enjoying so many new and exciting interaction and display technologies: high dynamic range, high frame rate, low-latency head-mounted, light-field and holographic displays may soon become products. Those new display technologies require sophisticated algorithms for displaying images. Driving those displays often requires solving an optimisation problem, in which perceived image quality is maximised while adhering to physical constraints. This not only poses new computational problems, but also challenges our understanding of the visual system and the existing visual models.

In my talk I will argue that the next big challenge for the next generation of displays, computer graphics and interaction should be achieving the impression of perceptual realism: creating artificial imagery that would be hard to distinguish from reality. This can be only achieved by the right combination of the relevant visual dimensions, such as dynamic range, colour, binocular stereo, focal depth, spatial and temporal resolution. It requires profound changes in the entire imaging pipeline, from acquisition and rendering to display, with the strong focus on the visual perception.

BIO : —— Rafal Mantiuk is a senior lecturer at Bangor University (UK) and a member of a Research Institute of Visual Computing. Before coming to Bangor he received his PhD from the Max-Planck-Institute for Computer Science (2006, Germany) and was a postdoctoral researcher at the University of British Columbia (Canada). He has published numerous journal and conference papers presented at ACM SIGGRAPH , Eurographics, CVPR and SPIE HVEI conferences, was awarded several patents and was recognized by the Heinz Billing Award (2006). Rafal Mantiuk investigates how the knowledge of the human visual system and perception can be incorporated within computer graphics and imaging algorithms. His recent interests focus on designing imaging algorithms that adapt to human visual performance and viewing conditions in order to deliver the best images given limited resources, such as computation time or display contrast.

This talk is part of the Rainbow Group Seminars series.

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