Optical Splitting Trees for High-Precision Monocular Imaging

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.