Illumination invariant adaptive joint transform correlator

Victor Diaz; Vitaly Kober

doi:10.1117/12.735057

20 September 2007 Illumination invariant adaptive joint transform correlator

Victor Diaz, Vitaly Kober

Proceedings Volume 6695, Optics and Photonics for Information Processing; 66951B (2007) https://doi.org/10.1117/12.735057
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Illumination functions can be modeled as multiplicative noise. Therefore, an input scene for pattern recognition is commonly corrupted by a mixture of additive and multiplicative noises. Existing correlation filters assume that multiplicative noise is either a constant factor or wide scense stationary noise. We propose a point-wise preprocessing of an input scene and consequent optimum correlation filter design. This procedure takes into account knowledge of illumination funtion. Adaptive joint transform correlator architecture is used. Computer simulation results are provided and discussed.

Citation Download Citation

Victor Diaz and Vitaly Kober "Illumination invariant adaptive joint transform correlator", Proc. SPIE 6695, Optics and Photonics for Information Processing, 66951B (20 September 2007); https://doi.org/10.1117/12.735057

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available