• DocumentCode
    1925887
  • Title

    Accelerating SIFT on parallel architectures

  • Author

    Warn, Seth ; Emeneker, Wesley ; Cothren, Jackson ; Apon, Amy

  • Author_Institution
    Comput. Sci. & Comput. Eng., Univ. of Arkansas, Fayetteville, AR, USA
  • fYear
    2009
  • fDate
    Aug. 31 2009-Sept. 4 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requires parallelization in order to be feasible. We explore accelerating an existing serial SIFT implementation with OpenMP parallelization and GPU execution.
  • Keywords
    feature extraction; parallel architectures; GPU execution; OpenMP parallelization; SIFT; feature extraction; parallel architectures; scale invariant feature transform; Acceleration; Computer science; Computer vision; Concurrent computing; Data mining; Feature extraction; Histograms; Laplace equations; Parallel architectures; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    1552-5244
  • Print_ISBN
    978-1-4244-5011-4
  • Electronic_ISBN
    1552-5244
  • Type

    conf

  • DOI
    10.1109/CLUSTR.2009.5289155
  • Filename
    5289155
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1925887