DocumentCode :
1556789
Title :
Estimation of depth from defocus as polynomial system identification
Author :
Rayala, J. ; Gupta, S. ; Mullick, S.K.
Author_Institution :
Metricom Inc, San Jose, CA, USA
Volume :
148
Issue :
5
fYear :
2001
fDate :
10/1/2001 12:00:00 AM
Firstpage :
356
Lastpage :
362
Abstract :
The two-image depth from defocus problem is considered as a system identification problem. The underlying phenomenon of defocusing is modelled as a linear system with an appropriate transfer function. Using a general measure for the spread, a relation between the spread and the system transfer function is obtained. A parametric transfer function is utilised in deriving an analytical expression for the spread. The two images taken with different camera parameters then become the input-output of such a system. An algorithm for estimating the coefficients of the transfer function is derived. The method is tested on synthetic images as well as images obtained from a camera
Keywords :
computer vision; optical transfer function; parameter estimation; polynomials; camera images; camera parameters; computer vision; defocus problem; defocusing; depth estimation; linear system; parametric transfer function; point spread function; polynomial system identification; spread; synthetic images; transfer function; two-image depth;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20010379
Filename :
974396
Link To Document :
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