• DocumentCode
    236944
  • Title

    Correspondence matching based on Higher Order Statistics for Multi-view plus Depth video sequences

  • Author

    Colonnese, S. ; Oliveira, P. ; Rosato, A. ; Ungaro, L. ; Beghdadi, Azeddine ; Biagi, Mauro ; Scarano, G.

  • Author_Institution
    DIET, Univ. La Sapienza di Roma, Rome, Italy
  • fYear
    2014
  • fDate
    10-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This work addresses the problem of correspondence matching in multiview video sequences when co-acquired depth maps are available, as in the novel Multiview Video plus Depth (MVD) format. For the purpose of activity-based correspondence matching, we exploit the view depth information, allowing a thorough geometrical analysis of the video scene, and the statistical analysis of the inter-frame differences.
  • Keywords
    geometry; higher order statistics; image matching; image sequences; MVD format; correspondence matching; geometrical analysis; higher order statistics; inter-frame differences; multiview video plus depth format; multiview video sequences; statistical analysis; video scene; Cameras; Entropy; Higher order statistics; Mutual information; Noise; Support vector machine classification; Vectors; Correspondence matching; Higher Order Statistics; Multiview Video plus Depth (MVD) format;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Information Processing (EUVIP), 2014 5th European Workshop on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/EUVIP.2014.7018404
  • Filename
    7018404
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=236944