• DocumentCode
    2821264
  • Title

    Contextual saliency

  • Author

    Fan, Jialue ; Wu, Ying

  • Author_Institution
    EECS Dept., Northwestern Univ., Evanston, IL, USA
  • fYear
    2011
  • fDate
    6-9 Nov. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Matching local salient points is limited in some computer vision problems (e.g., wide baseline point matching and its applications), since local features vary dramatically under large view changes. In this paper, we propose a new definition on salient points which includes context information around the given point. The proposed contextual salient points are extracted based on the geometry structure of the manifold embedded in the image feature space. Experimental results show the benefit of contextual salient points over local salient points.
  • Keywords
    computer vision; image matching; computer vision; contextual saliency; image feature space; matching local salient points; Context; Detectors; Feature extraction; Histograms; Manifolds; Probes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2011 IEEE
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4577-1321-7
  • Electronic_ISBN
    978-1-4577-1320-0
  • Type

    conf

  • DOI
    10.1109/VCIP.2011.6115928
  • Filename
    6115928