• DocumentCode
    2714793
  • Title

    Visibility Based Preconditioning for bundle adjustment

  • Author

    Kushal, Avanish ; Agarwal, Sameer

  • Author_Institution
    Univ. of Washington, Seattle, WA, USA
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    1442
  • Lastpage
    1449
  • Abstract
    We present Visibility Based Preconditioning (VBP) a new technique for efficiently solving the linear least squares problems that arise in bundle adjustment (Triggs et al., 1999). Using the camera-point visibility structure of the scene, we describe the construction of two preconditioners. These preconditioners when combined with an inexact step Levenberg-Marquardt algorithm (Wright and Holt, 1985) offer state of the art performance on the BAL data set (Agarwal et al., 2010), with 3-5× reduction in execution time over currently available methods while delivering comparable or better solution quality.
  • Keywords
    cameras; image matching; image reconstruction; BAL data set; bundle adjustment; inexact step Levenberg-Marquardt algorithm; linear least squares problems; scene camera-point visibility structure; visibility based preconditioning; Approximation methods; Cameras; Clustering algorithms; Jacobian matrices; Symmetric matrices; Vectors; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247832
  • Filename
    6247832