Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging 


Vol. 37,  No. 2, pp. 128-134, Feb.  2012


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  Abstract

In this paper, we propose a novel approach to enhance the recognition performance of a far and partially occluded three-dimensional (3-D) target in computational curving-effective integral imaging (CEII) by using the direct pixel-mapping (DPM) method. With this scheme, the elemental image array (EIA) originally picked up from a far and partially occluded 3-D target can be converted into a new EIA just like the one virtually picked up from a target located close to the lenslet array. Due to this characteristic of DPM, resolution and quality of the reconstructed target image can be highly enhanced, which results in a significant improvement of recognition performance of a far 3-D object. Experimental results reveal that image quality of the reconstructed target image and object recognition performance of the proposed system have been improved by 1.75 ㏈ and 4.56% on the average in PSNR (peak-to-peak signal-to-noise ratio) and NCC (normalized correlation coefficient), respectively, compared to the conventional system.

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  Cite this article

[IEEE Style]

H. Chung and E. Kim, "Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 128-134, 2012. DOI: .

[ACM Style]

Han-Gu Chung and Eun-Soo Kim. 2012. Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging. The Journal of Korean Institute of Communications and Information Sciences, 37, 2, (2012), 128-134. DOI: .

[KICS Style]

Han-Gu Chung and Eun-Soo Kim, "Improved Recognition of Far Objects by using DPM method in Curving-Effective Integral Imaging," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 2, pp. 128-134, 2. 2012.