• DocumentCode
    3179645
  • Title

    Perspective Invariant Angle Ordering

  • Author

    Shaw, David ; Barnes, Nick

  • Author_Institution
    Dept. Inf. Eng., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2009
  • fDate
    1-3 Dec. 2009
  • Firstpage
    256
  • Lastpage
    263
  • Abstract
    In this paper we present the geometric property of perspective invariant angle ordering; the order of angles between point features. We describe how this can be used to exploit the structure of the appearance of features on planar or near planar surfaces to improve precision for localisation and object recognition. We show test results on real-world images that show marked improvement over straight bag-of-features approaches.
  • Keywords
    computational geometry; feature extraction; object recognition; feature point; localisation; object recognition; perspective invariant angle ordering; planar surfaces; straight bag-of-features; Cameras; Detectors; Face detection; Face recognition; Humans; Image recognition; Object detection; Object recognition; Shape; Testing; bag-of-features; feature points; geometric algorithms; localisation; object recognition; real-time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4244-5297-2
  • Electronic_ISBN
    978-0-7695-3866-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2009.50
  • Filename
    5384970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3179645