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https://hdl.handle.net/20.500.11779/660| Title: | Corner Detection by Local Zernike Moments |
| Authors: | Ozbulak, Gokhan Gökmen, Muhittin |
| Keywords: | Interest point detection Feature extraction Local zernike moment Corner detection |
| 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) ##nofulltext## |
| 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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