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
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