• DocumentCode
    3756329
  • Title

    Many SVDs on GPU for Image Mosaic Assemble

  • Author

    Irving Badolato;Luciano de Paula;Ricardo Farias

  • Author_Institution
    COPPE/Syst. Eng., Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil
  • fYear
    2015
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    In this paper we present a homography algorithm to produce image mosaics using parallelism to solve a multiple Singular Value Decomposition (SVD) system. We analyse four state of art SVD methods and choose the one which better suites the expected size of the matrices derived from the datasets of interest. Then we use cuda to accelerate the solution of the transformation homogeneous matrices.
  • Keywords
    "Matrix decomposition","Correlation","Jacobian matrices","Eigenvalues and eigenfunctions","Graphics processing units","Symmetric matrices","Singular value decomposition"
  • Publisher
    ieee
  • Conference_Titel
    Computer Architecture and High Performance Computing Workshop (SBAC-PADW), 2015 International Symposium on
  • Type

    conf

  • DOI
    10.1109/SBAC-PADW.2015.22
  • Filename
    7423178
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3756329