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Proceedings Paper

Three-dimensional object visualization and recognition based on computational integral imaging
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Paper Abstract

We propose to use integral images to reconstruct and recognize three-dimensional (3D) scenes in a computer. A stereo-matching algorithm is applied to integral images in order to extract the depth information. This information is used to digitally reconstruct the 3D scenes. A numerical 3D correlation is then computed between various reconstructed scenes. We demonstrate the reconstruction and correlation results from experimental integral images. We propose to use a nonlinear correlation for better discrimination and we present the successful recognition and 3D localization of an object in a 3D scene. We finally compare the discrimination of two- and three-dimensional correlations.

Paper Details

Date Published: 6 August 2003
PDF: 8 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501398
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Yann Frauel, Univ. Nacional Autónoma de México (Mexico)

Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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