• DocumentCode
    3461809
  • Title

    Camera Position Estimation from Image by ANFIS

  • Author

    Hsia, K.H. ; Lien, S.F. ; Wang, C.C. ; Su, J.P.

  • Author_Institution
    Dept. of Manage. Inf. Syst., Far East Univ., Tainan, Taiwan
  • fYear
    2009
  • fDate
    7-9 Dec. 2009
  • Firstpage
    548
  • Lastpage
    551
  • Abstract
    For picture taking, 3D scenery is projected to a 2D image through the camera center. Different position of the camera will cause a different image. It is hard to estimate the camera position only from an image. In this paper, a method to estimate the position of the camera by extracting features from a 2D image and using adaptive neuro-fuzzy inference systems (ANFIS) is proposed. From the experimental results, it is evidently that the proposed method can estimate the center of the camera correctly in a short time.
  • Keywords
    cameras; feature extraction; fuzzy neural nets; fuzzy reasoning; 2D image; 3D scenery; ANFIS; adaptive neuro-fuzzy inference systems; camera position estimation; feature extraction; Adaptive systems; Cameras; Computer security; Computer vision; Feature extraction; Fuzzy systems; Geometry; Image reconstruction; Management information systems; Photography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4244-5543-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2009.132
  • Filename
    5412639