• DocumentCode
    2553034
  • Title

    An improvement on the keypoint detection method of SIFT for hardware computation

  • Author

    Xiao, Han ; Yuan, Kui ; He, Wenhao

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • fYear
    2011
  • fDate
    21-25 June 2011
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    In order to achieve real-time detection of SIFT keypoints through hardware computation on FPGA, the original algorithm was redesigned to accommodate the parallel computation and pipelined structure of hardware. The computation accuracy of fixed-point number is improved by the new scheme, while the computation amount of the whole algorithm is greatly reduced and hardware cost is saved. In the aspect of performance, the new scheme is as robust to image noise as the original algorithm, while the scale invariance of keypoints has been improved dramatically.
  • Keywords
    feature extraction; field programmable gate arrays; parallel algorithms; FPGA; SIFT keypoints; fixed-point number; hardware computation; keypoint detection; parallel computation; pipelined structure; real-time detection; Automation; Field programmable gate arrays; Hardware; Laboratories; MATLAB; Robustness; Transforms; FPGA; Hardware Computation; Keypoint Detection; SIFT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2011 9th World Congress on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-61284-698-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2011.5970631
  • Filename
    5970631