• DocumentCode
    678727
  • Title

    ColourFAST: GPU-based feature point detection and tracking on mobile devices

  • Author

    Ensor, Andrew ; Hall, Sebastian

  • Author_Institution
    Sch. of Comput. & Math. Sci., AUT Univ., Auckland, New Zealand
  • fYear
    2013
  • fDate
    27-29 Nov. 2013
  • Firstpage
    124
  • Lastpage
    129
  • Abstract
    A realtime feature point detection algorithm called ColourFAST is introduced. ColourFAST extracts vector-based feature strength and direction measures from the colour channels of any pixel in an image. The extracted information is applied to create an effective feature point tracker. These feature point and tracker algorithms have a pipeline design optimized for GPU processors. Results are provided for an implementation on mobile devices developed using programmable shaders. Its performance demonstrates several improvements over conventional FAST feature point detection and Lucas-Kanade tracking.
  • Keywords
    feature extraction; graphics processing units; image colour analysis; mobile computing; ColourFAST; GPU based feature point detection; GPU based feature point tracking; GPU processors; Lucas-Kanade tracking; colour channels; feature point tracker; image pixel; information extraction; mobile devices; programmable shaders; Feature extraction; Graphics processing units; Image color analysis; Mobile handsets; Pipelines; Tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
  • Conference_Location
    Wellington
  • ISSN
    2151-2191
  • Print_ISBN
    978-1-4799-0882-0
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2013.6727003
  • Filename
    6727003