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http://dx.doi.org/10.7840/KICS.2012.37A.2.128

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

Chung, Han-Gu (광운대학교 전자공학과, 홀로디지로그 휴먼미디어 연구센터)
Kim, Eun-Soo (광운대학교 전자공학과, 홀로디지로그 휴먼미디어 연구센터)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37, no.2A, 2012 , pp. 128-134 More about this Journal
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 dB 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.
Keywords
PSNR; NCC;
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