BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:A Model of Local Adaptation - Rafal Mantiuk (University of Cambrid
 ge)
DTSTART:20160211T111500Z
DTEND:20160211T121500Z
UID:TALK64438@talks.cam.ac.uk
CONTACT:Mariana Marasoiu
DESCRIPTION:The visual system constantly adapts to different luminance lev
 els when viewing natural scenes. The state of visual adaptation is the key
  parameter in many visual models. While the time-course of such adaptation
  is well understood\, there is little known about the spatial pooling that
  drives the adaptation signal. In this work we propose a new empirical mod
 el of local adaptation\, that predicts how the adaptation signal is integr
 ated in the retina. The model is based on psychophysical measurements 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 mo
 st predictive model. The model can be used to predict the steady state of 
 adaptation\, but also conservative estimates of the visibility (detection)
  thresholds in complex images. We demonstrate the utility of the model in 
 several applications\, such as perceptual error bounds for physically base
 d rendering\, determining the backlight resolution for HDR displays\, meas
 uring the maximum visible dynamic range in natural scenes\, simulation of 
 afterimages\, and gaze-dependent tone mapping.
LOCATION:SS03 Meeting Room\, Computer Laboratory
END:VEVENT
END:VCALENDAR