A rotation invariant local Zernike moment based interest point detector

Gökhan Özbulak; Muhittin Gökmen

doi:10.1117/12.2181058

14 February 2015 A rotation invariant local Zernike moment based interest point detector

Gökhan Özbulak, Muhittin Gökmen

Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94450E (2015) https://doi.org/10.1117/12.2181058
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy

Abstract

Detection of interesting points in the image is an important phase when considering object detection problem in computer vision. Corners are good candidates as such interest points. In this study, by optimizing corner model of Ghosal based on local Zernike moments (LZM) and using LZM representation Sariyanidi et.al presented, a rotation-invariant interest point detector is proposed. The performance of proposed detector is evaluated by using Mikolajczyk's dataset prepared for rotation-invariance and our method outperforms well-known methods such as SIFT and SURF in terms of repeatability criterion.

Citation Download Citation

Gökhan Özbulak and Muhittin Gökmen "A rotation invariant local Zernike moment based interest point detector", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94450E (14 February 2015); https://doi.org/10.1117/12.2181058

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