Optical Splitting Trees for High-Precision Monocular Imaging

Morgan McGuire
Wojciech Matusik
Billy Chen
John F. Hughes
Hanspeter Pfister
Shree Nayar

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 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.

Bibtex

@article{mcguire07splittingtrees, 
  title = "Optical splitting trees for high-precision monocular imaging" 
  author = "Morgan McGuire and Wojciech Matusik and Billy Chen and John F. Hughes and Hanspeter Pfister and Shree Nayar", 
  publisher = "IEEE", 
  journal = "Computer Graphics and Applications", 
  organization = "IEEE", 
  month = "March", 
  year = "2007", 
  pages = "", 
  url = "graphics.cs.williams.edu/papers/SplittingTreesCGA07" 
}