This paper introduces a framework to design optical splitting trees 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 non-ideal characteristics. We describe an optimization tool takes this into account and finds ``good'' designs as specified by several weighted coefficients. Assisted by this optimizer, we demonstrate high-dynamic range, focusing, matting, high-speed, and hybrid imaging implemented on a single, reconfigurable camera containing eight sensors.

@article{mcguire07splittingtrees,
 author = {Morgan Mc{G}uire and Wojciech Matusik and Hanspeter Pfister and Billy Chen and John F. Hughes and Shree K. Nayar},
 title = {Optical Splitting Trees for High-Precision Monocular Imaging},
 journal = {IEEE Comput. Graph. Appl.},
 volume = {27},
 number = {2},
 year = {2007},
 issn = {0272-1716},
 pages = {32--42},
 doi = {http://dx.doi.org/10.1109/MCG.2007.45},
 publisher = {IEEE Computer Society Press},
 address = {Los Alamitos, CA, USA},
 }