Translation-invariant object recognition system using an optical correlator and a super-parallel holographic random access memory

Alexander Heifetz; John T. Shen; Jong-Kwon Lee; Renu Tripathi; M.S. Shahriar

doi:10.1117/1.2172354

1 February 2006 Translation-invariant object recognition system using an optical correlator and a super-parallel holographic random access memory

Alexander Heifetz, John T. Shen, Jong-Kwon Lee, Renu Tripathi, M.S. Shahriar

Author Affiliations +

Optical Engineering, Vol. 45, Issue 2, 025201 (February 2006). https://doi.org/10.1117/1.2172354

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).

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Alexander Heifetz, John T. Shen, Jong-Kwon Lee, Renu Tripathi, and M.S. Shahriar "Translation-invariant object recognition system using an optical correlator and a super-parallel holographic random access memory," Optical Engineering 45(2), 025201 (1 February 2006). https://doi.org/10.1117/1.2172354

Published: 1 February 2006

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