Computer simulations for comparison of pattern recognition based on different variants of distortion invariant correlation filters

Nikolay N Evtikhiev; Peter A. Ivanov; Andrew S Lyapin; Alexey V Shevchuk; Serge I Sirotkin; Rostislav S Starikov; Alexey V Zaharcev

doi:10.1117/12.516436

30 September 2003 Computer simulations for comparison of pattern recognition based on different variants of distortion invariant correlation filters

Nikolay N Evtikhiev, Peter A. Ivanov, Andrew S Lyapin, Alexey V Shevchuk, Serge I Sirotkin, Rostislav S Starikov, Alexey V Zaharcev

Author Affiliations +

Proceedings Volume 5267, Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision; (2003) https://doi.org/10.1117/12.516436
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

Abstract

One of the widespread methods for distorted patterns is to use a distortion invariant correlation filters. Invariant filters have different properties that are quite good for different pattern recognition problems. This paper presents the results of computer simulations of pattern recognition using different modern approaches on distortion invariant correlation filters. The different types of correlation filters (MACE, GMACE, LPCCF, WBKF and others) are compared for input test sets of different examples of patterns. There are presented results of pattern recognition for different types of distortions. The output correlation peaks are compared by its characteristics. The obtained results of comparison provide that in some cases there are correspondences between the choused correlation filter, the variant of pattern and type of the distortion for optimal output peak characteristics.

Citation Download Citation

Nikolay N Evtikhiev, Peter A. Ivanov, Andrew S Lyapin, Alexey V Shevchuk, Serge I Sirotkin, Rostislav S Starikov, and Alexey V Zaharcev "Computer simulations for comparison of pattern recognition based on different variants of distortion invariant correlation filters", Proc. SPIE 5267, Intelligent Robots and Computer Vision XXI: Algorithms, Techniques, and Active Vision, (30 September 2003); https://doi.org/10.1117/12.516436

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