Optical Splitting Trees for High-Precision Monocular Imaging

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Optical Splitting Trees for High-Precision Monocular Imaging

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Title: Optical Splitting Trees for High-Precision Monocular Imaging
Author: McGuire, Morgan; Matusik, Wojciech; Pfister, Hanspeter; Chen, Billy; Hughes, John F.; Nayar, Shree K.

Note: Order does not necessarily reflect citation order of authors.

Citation: McGuire, Morgan, Wojciech Matusik, Hanspeter Pfister, Billy Chen, John F. Hughes, and Shree K. Nayar. 2007. Optical splitting trees for high-precision monocular imaging. IEEE Computer Graphics and Applications 27(2): 32-42.
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Abstract: 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.
Published Version: doi:10.1109/MCG.2007.45
Other Sources: http://gvi.seas.harvard.edu/sites/all/files/SplittingTrees_0.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:4101892

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  • FAS Scholarly Articles [7374]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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