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Optimal selection of camera parameters for recovery of depth from defocused images

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Title Optimal selection of camera parameters for recovery of depth from defocused images
 
Creator RAJAGOPALAN, AN
CHAUDHURI, S
 
Description 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.
 
Publisher I E E E, COMPUTER SOC PRESS
 
Date 2011-10-24T11:41:11Z
2011-12-15T09:11:36Z
2011-10-24T11:41:11Z
2011-12-15T09:11:36Z
1997
 
Type Proceedings Paper
 
Identifier 1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS,219-224
0-7803-4236-4
1063-6919
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
 
Source 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 97),SAN JUAN, PR,JUN 17-19, 1997
 
Language English