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SUMMARY:Natural statistics and human perception of shape and gloss - Wendy
  J. Adams\, Southampton University
DTSTART:20160414T120000Z
DTEND:20160414T130000Z
UID:TALK65641@talks.cam.ac.uk
CONTACT:John Mollon
DESCRIPTION:Recovering the 3D shape and reflectance of objects in our envi
 ronment from 2D retinal images is a highly complex and ill-posed problem. 
 The effects of object shape\, reflectance and illumination structure are c
 onfounded in the image.  To perform well in natural environments the human
  visual system must (i) use all available information\, (ii) jointly estim
 ate the generative variables and (iii) exploit knowledge of the statistics
  of the environment. \nHere I describe studies that indicate that observer
 s use not just vision\, but also touch information when estimating surface
  gloss\, as well as recent work showing that we jointly estimate shape and
  reflectance.\nI will also introduce the Southampton-York Natural Scenes d
 ataset (SYNS: https://syns.soton.ac.uk). The SYNS dataset includes scenes 
 surveyed at random locations within diverse indoor and outdoor environment
  categories. Each survey consists of (a) spherical LiDAR range data (b) hi
 gh-dynamic range spherical imagery and (c) a panorama of stereo image pair
 s. 
LOCATION:Kenneth Craik Room\, Craik-Marshall Building\, Downing Site
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