Bundle Adjustment -- A Modern Synthesis

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.
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Communication dans un congrès
Bill Triggs and Andrew Zisserman and Richard Szeliski. International Workshop on Vision Algorithms, Sep 2000, Corfu, Greece. Springer-Verlag, 1883, pp.298--372, 2000, Lecture Notes in Computer Science. 〈http://www.springerlink.com/content/plvcrq5bx753a2tn/〉. 〈10.1007/3-540-44480-7_21〉
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https://hal.inria.fr/inria-00548290
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Soumis le : lundi 20 décembre 2010 - 08:42:53
Dernière modification le : mercredi 11 avril 2018 - 01:54:25
Document(s) archivé(s) le : jeudi 30 juin 2011 - 13:45:08

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Bill Triggs, Philip Mclauchlan, Richard Hartley, Andrew Fitzgibbon. Bundle Adjustment -- A Modern Synthesis. Bill Triggs and Andrew Zisserman and Richard Szeliski. International Workshop on Vision Algorithms, Sep 2000, Corfu, Greece. Springer-Verlag, 1883, pp.298--372, 2000, Lecture Notes in Computer Science. 〈http://www.springerlink.com/content/plvcrq5bx753a2tn/〉. 〈10.1007/3-540-44480-7_21〉. 〈inria-00548290〉

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