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Issue No. 02 - March/April (2007 vol. 27)
ISSN: 0272-1716
pp: 32-42
Shree K. Nayar , Columbia University
Wojciech Matusik , Mitsubishi Electric Research Laboratories (MERL)
Billy Chen , Stanford University
Morgan McGuire , Williams College
Hanspeter Pfister , Mitsubishi Electric Research Laboratories (MERL)
John F. Hughes , Brown University
This paper introduces a framework to design optical splitting tree to perform computational photography tasks that require many sensors with a common optical axis. As the number of sensors increases, designing a good optical system is often difficult because the components have nonideal characteristics. The authors describe an optimization tool takes this into account and finds "good" designs as specified by several weighted coefficients. Assisted by this optimizer, they demonstrate high-dynamic range, focusing, matting, high-speed, and hybrid imaging implemented on a single, reconfigurable camera containing eight sensors.
computational photography, optical design, high dynamic range, focusing, high-speed, splitting tree
Shree K. Nayar, Wojciech Matusik, Billy Chen, Morgan McGuire, Hanspeter Pfister, John F. Hughes, "Optical Splitting Trees for High-Precision Monocular Imaging", IEEE Computer Graphics and Applications, vol. 27, no. , pp. 32-42, March/April 2007, doi:10.1109/MCG.2007.45
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