DocumentCode :
3366853
Title :
3D shape recovery by image focus using Lorentzian-Cauchy function
Author :
Muhammad, Mannan Saeed ; Choi, Tae-Sun
Author_Institution :
Sch. of Inf. & Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
4065
Lastpage :
4068
Abstract :
In the past recent years, shape recovery using image focus has been investigated a lot. Traditionally, generalized Gaussian models are used to approximate the focus curves obtained after applying the focus measure. In this paper, we have proposed a new approximation model for the focus curve, using Lorentzian-Cauchy function. The focusing of light rays, by the imaging device, are approximated by using a Gaussian beam, which has the intensity profile along the propagation axis defined by Lorentzian-Cauchy function. Experiments performed on the simulated and real objects have shown the effectiveness of the proposed scheme.
Keywords :
Gaussian processes; approximation theory; image motion analysis; image reconstruction; shape recognition; 3D shape recovery; Gaussian beam; Lorentzian-Cauchy function; approximation model; focus curve; image focus; light rays; Accuracy; Approximation methods; Computational modeling; Correlation; Optical diffraction; Optical imaging; Shape; 3D shape recovery; Lorentzian-Cauchy function; Shape; Shape from Focus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5653557
Filename :
5653557
Link To Document :
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