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SUMMARY:Rainbow Seminar - A Model of Local Adaptation - Dr Rafal Mantiuk\,
  Graphics and Interaction Group\, Computer Laboratory
DTSTART:20151203T141500Z
DTEND:20151203T151500Z
UID:TALK62835@talks.cam.ac.uk
CONTACT:Guo Yu
DESCRIPTION:The visual system constantly adapts to different luminance lev
 els when\nviewing natural scenes. The state of visual adaptation is the ke
 y\nparameter in many visual models. While the time-course of such\nadaptat
 ion is well understood\, there is little known about the spatial\npooling 
 that drives the adaptation signal. In this work we propose a\nnew empirica
 l model of local adaptation\, that predicts how the\nadaptation signal is 
 integrated in the retina. The model is based on\npsychophysical measuremen
 ts on a high dynamic range (HDR) display.\n\nWe employ a novel approach to
  model discovery\, in which the experimental stimuli are optimized to find
  the most predictive model. The model can be used to predict the steady st
 ate of adaptation\, but also\nconservative estimates of the visibility (de
 tection) thresholds in\ncomplex images. We demonstrate the utility of the 
 model in several\napplications\, such as perceptual error bounds for physi
 cally based\nrendering\, determining the backlight resolution for HDR disp
 lays\,\nmeasuring the maximum visible dynamic range in natural scenes\,\ns
 imulation of afterimages\, and gaze-dependent tone mapping.
LOCATION:SS03 Meeting Room\, Computer Laboratory
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