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Proceedings Paper

New approaches to 3D image recognition
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Paper Abstract

We describe a number of new optoelectronic approaches to three-dimensional (3D) image recognition. In all the cases, digital holography is used to record the complex amplitude distribution of Fresnel diffraction patterns generated by 3D scenes illuminated with coherent light. This complex information is compared with that from a similar digital hologram of a 3D reference object using correlation methods. Pattern recognition techniques that are shift-variant or shift-invariant along the optical axis are described. In the latter case it is possible to detect the 3D position of the reference in the input scene with high accuracy. We use also a nonlinear composite correlation filter to achieve distortion tolerance. Experiments are presented to illustrate the recognition of a 3D object in the presence of out-of-plane rotation.

Paper Details

Date Published: 30 November 2001
PDF: 16 pages
Proc. SPIE 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review, 103020A (30 November 2001); doi: 10.1117/12.449689
Show Author Affiliations
Enrique Tajahuerce, Univ. Jaume I (Spain)
Osamu Matoba, Univ. of Tokyo (Japan)
Yann Frauel, Univ. of Connecticut (United States)
Maria-Albertina Castro, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 10302:
Optoelectronic Information Processing: Optics for Information Systems: A Critical Review
Philippe Refregier; Bahram Javidi; Carlos Ferreira; Santiago Vallmitjana, Editor(s)

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