Bundle Adjustment — A Modern Synthesis

  • Bill Triggs
  • Philip F. McLauchlan
  • Richard I. Hartley
  • Andrew W. Fitzgibbon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1883)

Abstract

This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.

Keywords

Bundle Adjustment Scene Reconstruction Gauge Freedom Sparse Matrices Optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Bill Triggs
    • 1
  • Philip F. McLauchlan
    • 2
  • Richard I. Hartley
    • 3
  • Andrew W. Fitzgibbon
    • 4
  1. 1.INRIA Rhône-AlpesMontbonnotFrance
  2. 2.School of Electrical Engineering, Information Technology & MathematicsUniversity of SurreyGuildfordUK
  3. 3.General Electric CRDSchenectady
  4. 4.Dept of Engineering ScienceUniversity of OxfordUK

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