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“úŽž(Date)F •½¬28”N10ŒŽ31“ú(ŒŽ)3ŒÀ (13:30 -- 15:00)
Mon., Oct. 31st, 2016 (3rd Period, 13:30 -- 15:00)
êŠ(Location)F L1
Ži‰ï(Chair)F ••x ‹MŽj (Takafumi Taketomi)

u‰‰ŽÒ(Presenter)F Boxin Shi (Advanced Industrial Science and TechnologyiAIST))
‘è–Ú(Title)F Full-Dimensional Imaging and Camera Intelligence
ŠT—v(Abstract)F An ordinary camera captures the real 3D scene as a projected 2D image with three channels. During this projection process, some scene information gets lost such as depth and surface normal, and some information gets compressed such as resolution and dynamic range. This presentation answers the questions what information has been lost and how to get them back by introducing the full-dimensional imaging framework. The lost and compressed information is restored as additional channels of a generalized image, e.g., a high-quality depth map with as high resolution as the 2D image, with state of the art computer vision algorithms, computational photography techniques, and novel camera prototyping. The concept of camera intelligence is then introduced to inspire the future research that complements artificial intelligence with camera design for solving visual computing problems that can never be solved using a conventional camera.
u‰‰Œ¾Œê(Language)F English
u‰‰ŽÒ—ª—ð(Biography)F Boxin Shi is currently a Researcher at the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST). His research interests are computational photography (super resolution, high dynamic range imaging, depth camera, unconventional imaging sensor) and computer vision (physics-based vision, photometry, reflectance and illumination modeling, 3D vision). He has got his Master of Engineering from Peking University and Bachelor of Engineering from Beijing University of Posts and Telecommunications, China, in 2010 and 2007 respectively. He earned his Ph.D. degree in information science and technology from the University of Tokyo in 2013.

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