Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Optical pattern recognition via adaptive spatial homodyne detection

Not Accessible

Your library or personal account may give you access

Abstract

We present an experimental demonstration of an optical pattern recognition scheme based on spatial homodyne detection. Our scheme is adaptive, all-optical, utilizes a single-element photo-detector, and provides a single parameter readout to quantify the efficacy of pattern recognition, thereby allowing very fast pattern recognition speeds. The spatial homodyne detector was applied to the identification of one- and two-dimensional phase profiles.

© 2010 Optical Society of America

Full Article  |  PDF Article
More Like This
Color component transformations for optical pattern recognition

V. Kober, V. Lashin, I. Moreno, J. Campos, L. P. Yaroslavsky, and M. J. Yzuel
J. Opt. Soc. Am. A 14(10) 2656-2669 (1997)

Reducing error probability in optical pattern recognition

Gady Zalman and Joseph Shamir
J. Opt. Soc. Am. A 8(12) 1866-1873 (1991)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (3)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.