Bilgisayar Mühendisliği Bölümü Koleksiyonu

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  • Conference Object
    Corner Detection by Local Zernike Moments
    (IEEE, 2015) Ozbulak, Gokhan; Gökmen, Muhittin
    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.