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http://dx.doi.org/10.5392/JKCA.2011.11.3.009

Acceleration Method for Integral Imaging Generation of Volume Data based on CUDA  

Park, Chan (충북대학교 정보산업공학과)
Jeong, Ji-Seong (충북대학교 정보산업공학과)
Park, Jae-Hyeung (충북대학교 정보통신공학부)
Kwon, Ki-Chul (충북대학교 정보통신공학부)
Kim, Nam (충북대학교 정보통신공학부)
Yoo, Kwan-Hee (충북대학교 정보산업공학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.3, 2011 , pp. 9-17 More about this Journal
Abstract
Recently, with the advent of stereoscopic 3D TV, the activation of 3D stereoscopic content is expected. Research on 3D auto stereoscopic display has been carried out to relieve discomfort of 3D stereoscopic display. In this research, it is necessary to generate the elemental image from a lens array. As the number of lens in a lens array is increased, it takes a lot of time to generate the elemental image, and it will take more time for a large volume data. In order to improve the problem, in this paper, we propose a method to generate the elemental image by using OpenCL based on CUDA. We perform our proposed method on PC environment with one of Tesla C1060, Geforce 9800GT and Quadro FX 3800 graphics cards. Experimental results show that the proposed method can obtain almost 20 times better performance than recent research result[11].
Keywords
3D Display; Integral Imaging; Volume Data; GPU; CUDA; OpenCL;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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