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http://dx.doi.org/10.6109/jkiice.2016.20.7.1369

Depth Extraction of Integral Imaging Using Correlation  

Kim, Youngjun (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University)
Cho, Ki-Ok (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University)
Kim, Cheolsu (Department of Electric Energy and Computer Engineering, Gyeongju University)
Cho, Myungjin (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University)
Abstract
In this paper, we present a depth extraction method of integral imaging using correlation between elemental images with phase only filter. Integral imaging is a passive three-dimensional (3D) imaging system records ray information of 3D objects through lenslet array by 2D image sensor, and displays 3D images by using the similar lenslet array. 2D images by lenslet array have different perspectives. These images are referred to as elemental images. Since the correlation can be calculated between elemental images, the depth information of 3D objects can be extracted. To obtain high correaltion between elemental images effectively, in this paper, we use phase only filter. Using this high correlation, the corresponding pixels between elemental images can be found so that depth information can be extracted by computational reconstruction technique. In this paper, to prove our method, we carry out optical experiment and calculate Peak Sidelobe Ratio (PSR) as a correlation metric.
Keywords
3D integral imaging; correlation; elemental image; linear filter; phase only filter;
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