Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/660
Title: Corner detection by Local Zernike Moments
Authors: Ozbulak, Gokhan
Gökmen, Muhittin
Keywords: Interest Point Detection
Corner Detection
Feature Extraction
Local Zernike Moment
Source: Ozbulak, G., Gokmen, M., (2015) Corner detection by Local Zernike Moments. Conference: 23nd Signal Processing and Communications Applications Conference (SIU) Location: Inonu Univ, Malatya, TURKEY. p. 1354-1357.
Abstract: In this paper, our corner-based interest point detector, Robust Local Zernike Moment based Features (R-LZMF), which was proved to be scale, rotation and translation-invariant, is investigated for invariance against affine transformation, lighting and blurring. Furthermore, R-LZMF's corner detection capability with Zernike moments of order 4 is theoretically explained in detail. Experimental results on the Inria Dataset show that R-LZMF outperforms SIFT, CenSurE, ORB, BRISK and competes with SURF in terms of repeatability for images under affine transformation and photometric deformation such as lighting and blurring.
Description: Muhittin Gökmen (MEF Author)
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URI: https://hdl.handle.net/20.500.11779/660
ISSN: 2165-0608
Appears in Collections:Bilgisayar Mühendisliği Bölümü koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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