Title :
Coded aperture pairs for depth from defocus
Author :
Zhou, Changyin ; Lin, Stephen ; Nayar, Shree
Author_Institution :
Columbia Univ., New York, NY, USA
fDate :
Sept. 29 2009-Oct. 2 2009
Abstract :
The classical approach to depth from defocus uses two images taken with circular apertures of different sizes. We show in this paper that the use of a circular aperture severely restricts the accuracy of depth from defocus. We derive a criterion for evaluating a pair of apertures with respect to the precision of depth recovery. This criterion is optimized using a genetic algorithm and gradient descent search to arrive at a pair of high resolution apertures. The two coded apertures are found to complement each other in the scene frequencies they preserve. This property enables them to not only recover depth with greater fidelity but also obtain a high quality all-focused image from the two captured images. Extensive simulations as well as experiments on a variety of scenes demonstrate the benefits of using the coded apertures over conventional circular apertures.
Keywords :
genetic algorithms; gradient methods; image coding; image resolution; search problems; circular apertures; coded aperture pairs; depth recovery; genetic algorithm; gradient descent search; high resolution apertures; Apertures; Euclidean distance; Gain measurement; Kernel; Layout; Nearest neighbor searches; Phase estimation; Phase measurement; Semisupervised learning; Training data;
Conference_Titel :
Computer Vision, 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4420-5
Electronic_ISBN :
1550-5499
DOI :
10.1109/ICCV.2009.5459268