@article { 43,
	title = {Optical-Splitting Trees for High-Precision Monocular Imaging},
	journal = {IEEE Computer Graphics \& Applications, Special Issue on Computational Photography},
	volume = {27},
	year = {2007},
	month = {March-April 2007},
	pages = {32-42},
	publisher = {IEEE},
	chapter = {32},
	abstract = {In this article, we consider the design of monocular multiview optical systems that form optical splitting trees, where the optical path topology takes the shape of a tree because of recursive beam splitting. Designing optical splitting trees is challenging when it requires many views with specific spectral properties. We introduce a manual design paradigm for optical splitting trees and a computer-assisted design tool to create efficient splitting-tree cameras. The tool accepts as input a specification for each view and a set of weights describing the user's relative affinity for efficiency, measurement accuracy, and economy. An optimizer then searches for a design that maximizes these weighted priorities. Our tool's output is a splitting-tree design that implements the input specification and an analysis of the efficiency of each root-to-leaf path. Automatically designed trees appear comparable to those designed by hand; we even show some cases where they are superior. With the help of the optimizer, the system demonstrates high dynamic range, focusing, matting, and hybrid imaging implemented on a single, reconfigurable camera containing eight sensors},
	author = {M. McGuire and Matusik, W. and H. Pfister and B. Chen and J. Hughes and S. Nayar}
}