Bundle Adjustment — A Modern Synthesis

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 c...

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Hauptverfasser: Triggs, Bill, McLauchlan, Philip F., Hartley, Richard I., Fitzgibbon, Andrew W.
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description 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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identifier ISSN: 0302-9743
ispartof Lecture notes in computer science, 2000, Vol.1883, p.298-372
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1611-3349
language eng
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source Springer Books
subjects Applied sciences
Artificial intelligence
Bundle Adjustment
Computer Science
Computer science
control theory
systems
Computer Vision and Pattern Recognition
Exact sciences and technology
Gauge Freedom
Optimization
Pattern recognition. Digital image processing. Computational geometry
Scene Reconstruction
Sparse Matrices
title Bundle Adjustment — A Modern Synthesis
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