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http://dx.doi.org/10.6109/jkiice.2012.16.10.2280

Nonlinear 3D Image Correlator Using Fast Computational Integral Imaging Reconstruction Method  

Shin, Donghak (동서대학교 IAI연구소)
Lee, Joon-Jae (계명대학교 게임모바일콘텐츠학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.10, 2012 , pp. 2280-2286 More about this Journal
Abstract
In this paper, we propose a novel nonlinear 3D image correlator using a fast computational integral imaging reconstruction (CIIR) method. In order to implement the fast CIIR method, the magnification process was eliminated. In the proposed correlator, elemental images of the reference and target objects are picked up by lenslet arrays. Using these elemental images, reference and target plane images are reconstructed on the output plane by means of the proposed fast CIIR method. Then, through nonlinear cross-correlations between the reconstructed reference and the target plane images, the pattern recognition can be performed from the correlation outputs. Nonlinear correlation operation can improve the recognition of 3D objects. To show the feasibility of the proposed method, some preliminary experiments are carried out and the results are presented by comparing the conventional method.
Keywords
3D correlation; Nonlinear correlation; integral imaging; elemental images; computational reconstruction;
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  • Reference
1 R. C. Gonzalez and R. E. Woods, Digital Image Processing, (Prentice Hall 2nd Edition January 15, 2002).
2 T.-C. Poon and T. Kim, "Optical image recognition of three-dimensional objects," Appl. Opt. vol. 38, pp. 370-381, 1999.   DOI   ScienceOn
3 B. Javidi and E. Tajahuerce, "Three-dimensional object recognition by use of digital holography," Opt. Lett. vol. 25, pp. 610-612, 2000.   DOI
4 Y. Frauel and B. Javidi, "Digital three-dimensional image correlation by use of computer reconstructed integral imaging," Appl. Opt. vol. 41, pp. 5488-5496, 2002.   DOI
5 J. Park, J. Kim, and B. Lee, "Three-dimensional optical correlator using a sub-image array," Opt. Express vol. 13, pp. 5116-5126, 2005.   DOI
6 F. Okano, H. Hoshino, J. Arai, and I. Yuyama, "Real-time pickup method for a three-dimensional image based on integral photography," Appl. Opt. vol. 36, pp. 1598-1603, 1997.   DOI
7 J.-S. Jang and B. Javidi, "Improved viewing resolution of three-dimensional integral imaging with nonstationary micro-optics," Opt. Lett. vol. 27, pp. 324-326, 2002.   DOI   ScienceOn
8 H. Arimoto, "Integral three-dimensional imaging with computed reconstruction," Opt. Lett., vol. 26, pp. 157-159, 2001.   DOI   ScienceOn
9 S.-H. Hong, J.-S. Jang, and B. Javidi, "Threedimensional volumetric object reconstruction using computational integral imaging," Opt. Express vol. 12, pp. 483-491, 2004.   DOI
10 B. Javidi, R. Ponce-Daz, and S.-H. Hong, "Three-dimensional recognition of occluded objects by using computational integral imaging," Opt. Lett. vol. 31, pp. 1106-1108, 2006.   DOI   ScienceOn
11 H. Yoo and D. K. Kim, "Three-dimensional image correlator using fast computational integral imaging reconstruction method based on pixel-to-pixel mapping," Opt. Commun. vol. 284. pp. 5110-5114, 2011.   DOI   ScienceOn
12 B. Javidi, "Nonlinear joint power spectrum based optical correlation," Appl. Opt. vol. 28, pp. 2358-2367, 1989.   DOI