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Proceedings Paper

Recognition of 3D objects by use of computational integral imaging reconstruction
Author(s): Jae-Sung Park; Dong-Choon Hwang; Dong-Hak Shin; Joo-Bong Hyun; Jong-Kil Lee; Ho-Hyun Kang; Eun-Soo Kim
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Paper Abstract

In this paper, a novel resolution-enhanced three-dimensional (3-D) image correlator by use of computationally reconstructed integral images is proposed to extract accurate location data of 3-D objects. Elemental images of the target and reference objects are picked up by lenslet arrays and from which, high-resolution target and reference plane images are reconstructed at the output plane by using a computational integral imaging reconstruction technique. Then, through cross-correlations between the reconstructed reference and target plane images, 3-D location data of the target objects in a scene can be robustly extracted. To show the feasibility of the proposed method, some experiments are carried out and its results are presented as well.

Paper Details

Date Published: 5 March 2007
PDF: 7 pages
Proc. SPIE 6490, Stereoscopic Displays and Virtual Reality Systems XIV, 64901M (5 March 2007); doi: 10.1117/12.704922
Show Author Affiliations
Jae-Sung Park, Kwangwoon Univ. (South Korea)
Dong-Choon Hwang, Kwangwoon Univ. (South Korea)
Dong-Hak Shin, Dongseo Univ. (South Korea)
Joo-Bong Hyun, Kwangwoon Univ. (South Korea)
Jong-Kil Lee, Kwangwoon Univ (South Korea)
Ho-Hyun Kang, Kwangwoon Univ. (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)


Published in SPIE Proceedings Vol. 6490:
Stereoscopic Displays and Virtual Reality Systems XIV
Andrew J. Woods; Neil A. Dodgson; John O. Merritt; Nicolas S. Holliman; Mark T. Bolas; Ian E. McDowall, Editor(s)

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