• DocumentCode
    3388259
  • Title

    An architectural hardware scheme for the generation of LG graphs for real-time image analysis

  • Author

    Michalopoulos, Kostas ; Tsakalakis, Michail ; Bourbakis, Nikolaos

  • Author_Institution
    ATR Center, Wright State Univ., Dayton, OH, USA
  • fYear
    2013
  • fDate
    1-3 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a hardware architecture scheme that implements the local-global (LG) graph methodology. The LG graph method has the capability to efficiently represent the context of a segmented image and hold its structure independent to rotation, translation and scaling. The LG graph method has been successfully used on object/pattern recognition, image understanding, face/facial expression recognition, biometrics representation and recognition.
  • Keywords
    graph theory; image segmentation; LG graph generation; biometrics recognition; biometrics representation; face expression recognition; facial expression recognition; hardware architecture scheme; image segmentation; image understanding; local-global graph methodology; object recognition; pattern recognition; real-time image analysis; Computer architecture; Corporate acquisitions; Hardware; Image segmentation; Merging; Real-time systems; Shape; Image processing/analysis; LG graphs; parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2013 18th International Conference on
  • Conference_Location
    Fira
  • ISSN
    1546-1874
  • Type

    conf

  • DOI
    10.1109/ICDSP.2013.6622727
  • Filename
    6622727