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SUMMARY:From high dynamic range to perceptual realism - Rafal Mantiuk\, Ba
 ngor University
DTSTART:20150720T083000Z
DTEND:20150720T093000Z
UID:TALK60153@talks.cam.ac.uk
CONTACT:Alan Blackwell
DESCRIPTION:Never before we had a prospect of enjoying so many new and exc
 iting interaction and display technologies: high dynamic range\, high fram
 e rate\, low-latency head-mounted\, light-field and holographic displays m
 ay soon become products. Those new display technologies require sophistica
 ted algorithms for displaying images. Driving those displays often require
 s solving an optimisation problem\, in which perceived image quality is ma
 ximised while adhering to physical constraints. This not only poses new co
 mputational problems\, but also challenges our understanding of the visual
  system and the existing visual models.\n\nIn my talk I will argue that th
 e next big challenge for the next generation of displays\, computer graphi
 cs and interaction should be achieving the impression of perceptual realis
 m: creating artificial imagery that would be hard to distinguish from real
 ity. This can be only achieved by the right combination of the relevant vi
 sual dimensions\, such as dynamic range\, colour\, binocular stereo\, foca
 l 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.\n\nBIO:\n----\nRafal Mant
 iuk is a senior lecturer at Bangor University (UK) and a member of a Resea
 rch Institute of Visual Computing. Before coming to Bangor he received his
  PhD from the Max-Planck-Institute for Computer Science (2006\, Germany) a
 nd was a postdoctoral researcher at the University of British Columbia (Ca
 nada). He has published numerous journal and conference papers presented a
 t ACM SIGGRAPH\, Eurographics\, CVPR and SPIE HVEI conferences\, was award
 ed several patents and was recognized by the Heinz Billing Award (2006). R
 afal Mantiuk investigates how the knowledge of the human visual system and
  perception can be incorporated within computer graphics and imaging algor
 ithms. His recent interests focus on designing imaging algorithms that ada
 pt to human visual performance and viewing conditions in order to deliver 
 the best images given limited resources\, such as computation time or disp
 lay contrast.
LOCATION:Lecture Theatre 2\, Computer Laboratory
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