Corner Detection by Local Zernike Moments

被引：0
作者：
Ozbulak, Gokhan [1 ]
Gokmen, Muhittin [2 ]
机构：
[1] Tubitak, Bilgem, Kocaeli, Turkey
[2] MEF Univ, Bilgisayar Muhendisligi Bolumu, Istanbul, Turkey
来源：
2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2015年
关键词：
interest point detection; corner detection; feature extraction; local Zernike moment;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：1354 / 1357
页数：4
相关论文
共 14 条
  • [1] Agrawal M, 2008, LECT NOTES COMPUT SC, V5305, P102, DOI 10.1007/978-3-540-88693-8_8
  • [2] SURF: Speeded up robust features
    Bay, Herbert
    Tuytelaars, Tinne
    Van Gool, Luc
    [J]. COMPUTER VISION - ECCV 2006 , PT 1, PROCEEDINGS, 2006, 3951 : 404 - 417
  • [3] A moment-based unified approach to image feature detection
    Ghosal, S
    Mehrotra, R
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (06) : 781 - 793
  • [4] Harris C, 1988, ALVEY VISION C, V15, P10, DOI DOI 10.5244/C.2.23
  • [5] INVARIANT IMAGE RECOGNITION BY ZERNIKE MOMENTS
    KHOTANZAD, A
    HONG, YH
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1990, 12 (05) : 489 - 497
  • [6] Leutenegger S, 2011, IEEE I CONF COMP VIS, P2548, DOI 10.1109/ICCV.2011.6126542
  • [7] Distinctive image features from scale-invariant keypoints
    Lowe, DG
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 60 (02) : 91 - 110
  • [8] Mikolajczyk K, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, P525, DOI 10.1109/ICCV.2001.937561
  • [9] Ozbulak G., 2015, INT C COMP VIS THEOR, V1, P644
  • [10] Ozbulak G., 2014, INT C MACH VIS ICMV
12