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

Rotation-invariant correlation with incoherent light

Not Accessible

Your library or personal account may give you access

Abstract

We have incorporated an algorithm for rotation invariance, based on circular-harmonic expansion, into a pattern recognition system that uses incoherent light. Simulations and experimental results reveal that the algorithm can provide adequate peak-to-background ratios regardless of the input rotation.

© 1991 Optical Society of America

Full Article  |  PDF Article
More Like This
Circular harmonic filters for a rotation-invariant incoherent correlator

Adolf W. Lohmann and David Mendlovic
Appl. Opt. 31(29) 6187-6189 (1992)

Partial rotation-invariant pattern matching and face recognition with a joint transform correlator

S. Chang, S. A. Boothroyd, and J. Chrostowski
Appl. Opt. 36(11) 2380-2387 (1997)

Incoherent method for rotation-invariant recognition

H. H. Arsenault, Yuan-neng Hsu, and Yuzan Yang
Appl. Opt. 21(4) 610-615 (1982)

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 (8)

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.