• DocumentCode
    2119998
  • Title

    Spatio-temporal consistency and distributivity as qualities of features

  • Author

    Eckmann, Michael ; Boult, Terrance E.

  • Author_Institution
    Skidmore Coll., Saratoga Springs, NY
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this work, we define two new and important qualities of features which expand upon the usual local feature information. Spatio-temporal consistency is a quality of a feature that quantifies how consistently a feature has been tracked in prior frames and how smooth its motion was over prior frames. Distributivity is a quality of a feature that quantifies physical distance (in number of pixels) from other features in the same frame.
  • Keywords
    feature extraction; distributivity; feature qualities; local feature information; match correctness ratio; mosaicing; occlusion; scale invariant feature transform; spatio-temporal consistency; Computer vision; Detectors; Educational institutions; Karhunen-Loeve transforms; Lighting; Robustness; Spatiotemporal phenomena; Springs; Testing; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-2339-2
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2008.4563137
  • Filename
    4563137