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Mini Symposium
Computational Photography
Bill Freeman · Bernhard Schölkopf

Thu Dec 11 01:30 PM -- 04:30 PM (PST) @
Event URL: http://www.kyb.tuebingen.mpg.de/bs/people/bs/nips-symposium2008.html »

Computation will change photography. The sensor no longer has to record the final image, but only data that can lead to the final image. Computation can solve longstanding photographic problems (e.g. deblurring) and well as open the door for radical new designs and capabilities for image capture, processing, and viewing (e.g. lightfield cameras). Many of these possibilities offer great machine learning problems, and much of the progress in computational photography will rely on solutions to these challenging machine learning problems. We have gathered 5 leading researchers in this new field to describe their work at the intersection of photography and machine learning.

Author Information

Bill Freeman (MIT/Google)
Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)

Bernhard Scholkopf received degrees in mathematics (London) and physics (Tubingen), and a doctorate in computer science from the Technical University Berlin. He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). In 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in 2010 he founded the Max Planck Institute for Intelligent Systems. For further information, see www.kyb.tuebingen.mpg.de/~bs.

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