DocumentCode :
2237753
Title :
Depth from focusing and defocusing
Author :
Xiong, Yalin ; Shafer, Steven A.
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1993
fDate :
15-17 Jun 1993
Firstpage :
68
Lastpage :
73
Abstract :
The problem of obtaining depth information from focusing and defocusing is studied. In depth from focusing, instead of the Fibonacci search, which is often trapped in local maxima, the combination of Fibonacci search and curve fitting is proposed. This combination leads to an unprecedentedly accurate result. A model of the blurring effect that takes geometric blurring as well as imaging blurring into consideration in the calibration of the blurring model is proposed. In spectrogram-based depth from defocusing, a maximal resemblance estimation method is proposed to decrease or eliminate the window effect
Keywords :
calibration; curve fitting; image processing; search problems; Fibonacci search; blurring effect; calibration; curve fitting; depth-from-defocusing; depth-from-focusing; geometric blurring; imaging blurring; maximal resemblance estimation method; spectrograms; window effect; Calibration; Cameras; Curve fitting; Focusing; Hardware; Humans; Lenses; Machine vision; Robot vision systems; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
ISSN :
1063-6919
Print_ISBN :
0-8186-3880-X
Type :
conf
DOI :
10.1109/CVPR.1993.340977
Filename :
340977
Link To Document :
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