• DocumentCode
    832671
  • Title

    Estimation of trifocal tensor using GMM

  • Author

    Hu, Mingxing ; Yuan, Baozong

  • Author_Institution
    Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
  • Volume
    38
  • Issue
    19
  • fYear
    2002
  • fDate
    9/12/2002 12:00:00 AM
  • Firstpage
    1094
  • Lastpage
    1095
  • Abstract
    A novel estimation of a trifocal tensor based on the Gaussian mixture model (GMM) is presented. The mixture model is built assuming that the residuals of inliers and outliers belong to different Gaussian distributions. The Bayesian rule is then employed to detect the inliers for re-estimation. Experiments show that the presented method is more precise and relatively unaffected by outliers
  • Keywords
    Bayes methods; Gaussian distribution; covariance matrices; image motion analysis; tensors; Bayesian rule; GMM; Gaussian distributions; Gaussian mixture model; image analysis; image data; inliers; motion analysis; outliers; trifocal tensor estimation;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020755
  • Filename
    1038610
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=832671