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DTSTART:20121028T030000
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DTSTART:20130331T020000
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UID:calendar.6474.field_data.0@www.corsodrupal.uniroma1.it
DTSTAMP:20260403T214759Z
CREATED:20121221T191016Z
DESCRIPTION:Portable light field cameras have demonstrated capabilities bey
 ond conventional cameras. In a single snapshot\, they enable digital image
  refocusing\, i.e.\, the ability to change the camera focus after taking t
 he snapshot\, and 3D reconstruction. We show that they also achieve a larg
 er depth of field than conventional cameras while maintaining the ability 
 to reconstruct detail at high resolution. More interestingly\, we show tha
 t their depth of field is essentially inverted compared to regular cameras
 . Crucial to the success of the light field camera is the way it samples t
 he light field\, trading off spatial vs. angular resolution\, and how alia
 sing affects the light field. We present a novel algorithm that estimates 
 a full resolution sharp image and a full resolution depth map from a singl
 e input light field image. The algorithm is formulated in a variational fr
 amework and it is based on novel image priors designed for light field ima
 ges. We demonstrate the algorithm on synthetic and real images captured wi
 th our own light field camera\, and show that it can outperform other comp
 utational camera systems.Short bio: Paolo Favaro received the Laurea degre
 e (BSc+MSc) from Università di Padova\, Italy in 1999\, and the M.Sc. and 
 Ph.D. degree in electrical engineering from Washington University in St. L
 ouis in 2002 and 2003 respectively. He was a postdoctoral researcher in th
 e computer science department of the University of California\, Los Angele
 s and subsequently in Cambridge University\, UK. Between 2004 and 2006 he 
 worked in medical imaging at Siemens Corporate  Research\, Princeton\, USA
 . From 2006 to 2011 he was Lecturer and then Reader at Heriot-Watt Univers
 ity and Honorary Fellow at the University of Edinburgh\, UK. In 2012 he be
 came full professor at Universität Bern\, Switzerland. His research intere
 sts are in computer vision\, computational photography\, machine learning\
 , signal and image processing\, estimation theory\, inverse problems and v
 ariational techniques. He is also a member of the IEEE Society.
DTSTART;TZID=Europe/Paris:20130107T143000
DTEND;TZID=Europe/Paris:20130107T143000
LAST-MODIFIED:20191008T084958Z
LOCATION:Aula Magna\, DIAG\, Via Ariosto 25\, 00185 Rome
SUMMARY:Seminar Paolo Favaro - Paolo Favaro from the University of Berna
URL;TYPE=URI:http://www.corsodrupal.uniroma1.it/node/6474
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