DocumentCode :
2678284
Title :
Depth retrieval based on optical defocus of imaging system
Author :
Hong, Liu
Author_Institution :
Educ. Minist. Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
Volume :
5
fYear :
2010
fDate :
27-29 March 2010
Firstpage :
319
Lastpage :
322
Abstract :
A novel method based on optical defocus of imaging system is presented for the estimation of the depth of the 3D scene. Firstly, optical defocus is described using the oriented heat-flows equation based on curvature driven. Secondly, the depth retrieval problem is translated into the minimum problem of energy functional with total variation regularization. Finally, the gradient flow is used to seek the optimal solution. The retrieval of focus image and the excess restrictions are avoided. Experimental result shows that better depth result can be obtained.
Keywords :
content-based retrieval; gradient methods; image restoration; image retrieval; minimisation; depth retrieval; energy functional problem; focus image retrieval; gradient flow; imaging system; optical defocus; oriented heat-flows equation; total variation regularization; Apertures; Cameras; Computer vision; Detectors; Focusing; Image retrieval; Layout; Lenses; Optical imaging; Optical signal processing; Curvature Driven; Depth retrieval; Optical defocus; Total variation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
Type :
conf
DOI :
10.1109/ICACC.2010.5487068
Filename :
5487068
Link To Document :
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