• DocumentCode
    1775491
  • Title

    Th SIFT features matching for spherical panoramic images

  • Author

    Shuai Liu ; Lingli Zhao ; Junsheng Li ; Qun Cai

  • Author_Institution
    Sch. of Eng., Honghe Univ., Mengzi, China
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    914
  • Lastpage
    917
  • Abstract
    Realistic panoramic image of its strong, deep, 360-degree panoramic view of the characteristics of convenience by the increasingly widespread concern for the real world to provide full 360 degree scene information, which has been widely applied in various fields. Panoramic three-dimensional measurement reconstruction needs to identify some feature matching. So the paper is focused on the research and applications of Spherical panoramic images feature points matching, introduces a SIFT feature matching method, which is applied to the automatic spherical panoramic image feature points matching.
  • Keywords
    feature extraction; image matching; SIFT feature matching; automatic spherical panoramic image feature points matching; panoramic 3D measurement reconstruction; realistic panoramic image; scene information; Educational institutions; Feature extraction; Image matching; Image reconstruction; Object recognition; Solid modeling; Vectors; SIFT; panoramic images; points matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6871043
  • Filename
    6871043