Real object-based integral imaging system using a depth camera and a polygon model

Ji-Seong Jeong; Munkh-Uchral Erdenebat; Ki-Chul Kwon; Byung-Muk Lim; Ho-Wook Jang; Nam Kim; Kwan-Hee Yoo

doi:10.1117/1.OE.56.1.013110

31 January 2017 Real object-based integral imaging system using a depth camera and a polygon model

Ji-Seong Jeong, Munkh-Uchral Erdenebat, Ki-Chul Kwon, Byung-Muk Lim, Ho-Wook Jang, Nam Kim, Kwan-Hee Yoo

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Optical Engineering, Vol. 56, Issue 1, 013110 (January 2017). https://doi.org/10.1117/1.OE.56.1.013110

Abstract

An integral imaging system using a polygon model for a real object is proposed. After depth and color data of the real object are acquired by a depth camera, the grid of the polygon model is converted from the initially reconstructed point cloud model. The elemental image array is generated from the polygon model and directly reconstructed. The polygon model eliminates the failed picking area between the points of a point cloud model, so at least the quality of the reconstructed 3-D image is significantly improved. The theory is verified experimentally, and higher-quality images are obtained.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Ji-Seong Jeong, Munkh-Uchral Erdenebat, Ki-Chul Kwon, Byung-Muk Lim, Ho-Wook Jang, Nam Kim, and Kwan-Hee Yoo "Real object-based integral imaging system using a depth camera and a polygon model," Optical Engineering 56(1), 013110 (31 January 2017). https://doi.org/10.1117/1.OE.56.1.013110

Received: 30 October 2016; Accepted: 6 January 2017; Published: 31 January 2017

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