Corner detection by Local Zernike Moments
MetadataShow full item record
CitationOzbulak, 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.
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.