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http://dx.doi.org/10.3807/HKH.2008.19.6.389

Enhanced Reconstruction of Heavy Occluded Objects Using Estimation of Variance in Volumetric Integral Imaging (VII)  

Hwang, Yong-Seok (Department of Electronic Engineering, Kwangwoon University)
Kim, Eun-Soo (Department of Electronic Engineering, Kwangwoon University)
Publication Information
Korean Journal of Optics and Photonics / v.19, no.6, 2008 , pp. 389-393 More about this Journal
Abstract
Enhanced reconstruction of heavy occluded objects was represented using estimation of variance in computational integral imaging. The system is analyzed to extract information of enhanced reconstruction from an elemental images set. To obtain elemental images with enhanced resolution, low focus error, and large depth of focus, synthetic aperture integral imaging (SAII) utilizing a digital camera has been adopted. The focused areas of the reconstructed image are varied with the distance of the reconstruction plane. When an occluded object is occluded heavily, an occluded object can not be reconstructed by removing the occluding object. To obtain reconstruction of the occluded object by remedying the effect of heavy occlusion, the statistical technique has been adopted.
Keywords
Three-dimensional image processing; Three-dimensional image acquisition; Geometrical optics; Pattern recognition and feature extraction;
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