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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2171

Title: Optimal selection of camera parameters for recovery of depth from defocused images
Authors: RAJAGOPALAN, AN
CHAUDHURI, S
Issue Date: 1997
Publisher: I E E E, COMPUTER SOC PRESS
Citation: 1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS,219-224
Abstract: In the depth from defocus (DFD) method two defocused images of a scene are obtained by capturing the scene with different sets of camera parameters. An arbitrary selection of the camera settings can result in observed images whose relative blurring is insufficient to yield a good estimate of the depth. In this paper, we study the effect of the degree of relative blurring on the accuracy of the estimate of the depth by addressing the DFD problem in a maximum likelihood-based framework. We propose a criterion for optimal selection of camera parameters to obtain an improved estimate of the depth. The optimality criterion is based on the Cramer-Rao bound of the variance of the error in the estimate of blur. Simulations as well as experimental results on real images are presented for validation.
URI: http://dx.doi.org/10.1109/CVPR.1997.609323
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15409
http://hdl.handle.net/100/2171
ISBN: 0-7803-4236-4
ISSN: 1063-6919
Appears in Collections:Proceedings papers

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