Bundle Adjustment — A Modern Synthesis View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2002-04-12

AUTHORS

Bill Triggs , Philip F. McLauchlan , Richard I. Hartley , Andrew W. Fitzgibbon

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. More... »

PAGES

298-372

References to SciGraph publications

  • 1997-03. Lines and Points in Three Views and the Trifocal Tensor in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 1999. Numerical Optimization in NONE
  • 1998. Optimal robot self-localization and reliability evaluation in COMPUTER VISION — ECCV’98
  • 1992-10. A comparative study of algorithms for reducing the fill-in during Cholesky factorization in JOURNAL OF GEODESY
  • 2002-04-12. Uncertainty Modeling for Optimal Structure from Motion in VISION ALGORITHMS: THEORY AND PRACTICE
  • 1998. Automatic camera recovery for closed or open image sequences in COMPUTER VISION — ECCV'98
  • 1976-12. Reducing the profile of sparse symmetric matrices in BULLETIN GÉODÉSIQUE (1946-1975)
  • 1974. Theoretical Statistics in NONE
  • 2002-04-12. Direct Recovery of Planar-Parallax from Multiple Frames in VISION ALGORITHMS: THEORY AND PRACTICE
  • 1992. What can be seen in three dimensions with an uncalibrated stereo rig? in COMPUTER VISION — ECCV'92
  • 1998. Optimal Estimation of Matching Constraints in 3D STRUCTURE FROM MULTIPLE IMAGES OF LARGE-SCALE ENVIRONMENTS
  • 2002-04-12. Gauge Independence in Optimization Algorithms for 3D Vision in VISION ALGORITHMS: THEORY AND PRACTICE
  • 1996. Shape ambiguities in structure from motion in COMPUTER VISION — ECCV '96
  • Book

    TITLE

    Vision Algorithms: Theory and Practice

    ISBN

    978-3-540-67973-8
    978-3-540-44480-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/3-540-44480-7_21

    DOI

    http://dx.doi.org/10.1007/3-540-44480-7_21

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1021371683


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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/3-540-44480-7_21'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/3-540-44480-7_21'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/3-540-44480-7_21'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/3-540-44480-7_21'


     

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