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Optical Engineering

Translation-invariant object recognition system using an optical correlator and a super-parallel holographic random access memory
Author(s): Alexander Heifetz; John T. Shen; Jong-Kwon Lee; Renu Tripathi; M.S. Shahriar
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Paper Abstract

We demonstrate a translation-invariant VanderLugt correlator (VLC) for a set of images stored via holographic angle multiplexing of volume gratings in a polymeric substrate. The images read out from the volume gratings are optically correlated in a translation-invariant manner with a dc-suppressed holographic filter. The quality and efficiency of this correlator are observed to be nearly as good as that of another VLC with images directly from a spatial light modulator used as inputs. This experiment is the first step toward realizing a novel optical image recognition system capable of identifying a query image through an exhaustive search in a large database of filter images stored in an ultrahigh capacity superparallel holographic random access memory (SPHRAM). In this system, the identification of the query image is to be performed with a translation invariant, real-time VLC or a joint transform correlator (JTC).

Paper Details

Date Published: 1 February 2006
PDF: 5 pages
Opt. Eng. 45(2) 025201 doi: 10.1117/1.2172354
Published in: Optical Engineering Volume 45, Issue 2
Show Author Affiliations
Alexander Heifetz, Northwestern Univ. (United States)
John T. Shen, Northwestern Univ. (United States)
Jong-Kwon Lee, Northwestern Univ. (United States)
Renu Tripathi, Rose-Hulman Institute of Technology (United States)
M.S. Shahriar, Northwestern Univ. (United States)

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