Discrete Spherical Harris Corner Detector

被引:0
|
作者
Li, Shigang [1 ]
Jia, Hanchao [2 ]
Li, Jianfeng [3 ]
机构
[1] Hiroshima City Univ, Grad Sch Informat Sci, Asaminami Ku, 3-4-1 Ozuka Higashi, Hiroshima 7313194, Japan
[2] Yahoo Japan Corp, Tokyo 1076211, Japan
[3] Tottori Univ, Informat & Elect Engn, Tottori 6808551, Japan
关键词
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper proposes a method of detecting Harris corners from spherical retina image, which is assumed to be captured from a spherical retina camera. In a spherical retina camera, the photodetectors are supposed to be arranged on a sphere. Therefore, a spherical retina image is a discrete spherical image, which is obtained by tessellating a sphere into cells corresponding to pixels. In this paper, the gradient of each pixels is computed as a 3D vector represented at orthogonal coordinate system to avoid a pole problem [13]. The Harris corners are detected based on the 3D gradient vectors by modifying the conventional Harris corner detector for 2D planar image. The effectiveness of the proposed method is shown in the experimental results.
引用
收藏
页码:357 / 362
页数:6
相关论文
共 50 条
  • [31] Efficient invariant interest point detector using Bilateral-Harris corner detector for object recognition application
    Manoranjitham, R.
    Deepa, P.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (08) : 9365 - 9378
  • [32] Self-Adaptive Harris Corner Detector on Heterogeneous Many-Core Processor
    Paul, Johny
    Stechele, Walter
    Sousa, Ericles
    Lari, Vahid
    Hannig, Frank
    Teich, Juergen
    Kroehnert, Manfred
    Asfour, Tamim
    PROCEEDINGS OF THE 2014 CONFERENCE ON DESIGN AND ARCHITECTURES FOR SIGNAL AND IMAGE PROCESSING, 2014,
  • [33] Parallelization schemes for memory optimization on the cell processor: A case study on the Harris corner detector
    Saidani T.
    Lacassagne L.
    Falcou J.
    Tadonki C.
    Bouaziz S.
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, 6590 : 177 - 200
  • [34] Low Cost Pipelined FPGA Architecture of Harris Corner Detector for Real-Time Applications
    Orabi, Hammam
    Shaikh-Husin, Nasir
    Sheikh, U. U.
    2015 TENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM), 2015, : 104 - 108
  • [35] CASIA-A Gait: Human Identification Through Gait Analysis With FAST and Harris Corner Detector Algorithms
    Abd Hamid, Junainah
    Praveen, K. N. Raja
    Kaur, Amandeep
    Chohan, Mandeep Kaur
    Dasi, Shivakrishna
    Kumar, P. P. N. G. Phani
    Singh, Devendra
    Alkhayyat, Ahmed
    NATIONAL ACADEMY SCIENCE LETTERS-INDIA, 2025,
  • [36] Door Surveillance using edge-map based Harris corner detector and Active Contour orientation
    Bangalore, Nagachetan
    Hassan, Waqas
    Mitra, Bhargav
    Birch, Philip
    Young, Rupert
    Chatwin, Chris
    VISUAL INFORMATION PROCESSING XX, 2011, 8056
  • [37] Human Eye Detection of Color Images Based on Morphological Segmentation using Modified Harris Corner Detector
    Das, Alak
    Ghoshal, Dibyendu
    2012 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN ELECTRICAL ENGINEERING AND ENERGY MANAGEMENT (ICETEEEM - 2012), 2012, : 143 - 147
  • [38] An Improved Algorithm for Harris Corner Detection
    Ye, Zhiyong
    Pei, Yijian
    Shi, Jihong
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 969 - 972
  • [39] Corner Detection Algorithm with Improved Harris
    Wan, Li
    Yu, Zhenming
    Yang, Qiuhui
    ADVANCES IN IMAGE AND GRAPHICS TECHNOLOGIES (IGTA 2015), 2015, 525 : 260 - 271
  • [40] Improved algorithm for Harris corner detection
    State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    不详
    不详
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2008, 16 (10): : 1995 - 2001