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http://dx.doi.org/10.6109/jkiice.2008.12.10.1853

Enhancement of 3D image resolution in computational integral imaging reconstruction by a combination of a round mapping model and interpolation methods  

Shin, Dong-Hak (동서대학교 영상콘텐츠학과)
Yoo, Hoon (상명대학교 디지털미디어학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.10, 2008 , pp. 1853-1859 More about this Journal
Abstract
In this paper, we propose a novel method to improve the visual quality of reconstructed images for 3D pattern recognition based on the computational integral imaging reconstruction (CIIR). The proposed CIIR method provides improved 3D reconstructed images by superimposing magnified elemental images by a combination of a round mapping model and image interpolation algorithms. To objectively evaluate the proposed method, we introduce an experimental framework for a computational pickup process and a CIIR process using a Gaussian function and evaluate the proposed method. We also carry out experiments on 3D objects and present their results.
Keywords
3D display; Integral imaging; Lens aray; Computational reconstruction;
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Times Cited By KSCI : 2  (Citation Analysis)
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