Issue No. 02 - March/April (2007 vol. 27)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCG.2007.45
Morgan McGuire , Williams College
Wojciech Matusik , Mitsubishi Electric Research Laboratories (MERL)
Hanspeter Pfister , Mitsubishi Electric Research Laboratories (MERL)
Billy Chen , Stanford University
John F. Hughes , Brown University
Shree K. Nayar , Columbia 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
S. K. Nayar, W. Matusik, B. Chen, M. McGuire, H. Pfister and J. F. Hughes, "Optical Splitting Trees for High-Precision Monocular Imaging," in IEEE Computer Graphics and Applications, vol. 27, no. , pp. 32-42, 2007.