• Corpus ID: 8878878

An Evolutionary Algorithm for Camera Calibration

@inproceedings{Guermeur2000AnEA,
  title={An Evolutionary Algorithm for Camera Calibration},
  author={Philippe Guermeur and Jean Louchet},
  year={2000}
}
Image calibration is the very first step in the low-level vision process, making it possible to reliably exploit geometrical information from images. In this paper, we address the problem of calculating and compensating camera lens distortion using a fast evolutionary algorithm. The advantages and limitations of this method are compared with classical calibration methods. Key-words: calibration; evolutionary algorithm; lens distortion; collinearity; geometric invariant; optimization. 

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References

SHOWING 1-10 OF 21 REFERENCES
Internal Camera Calibration using Rotation and Geometric Shapes
TLDR
This method is based on tracking image features through a sequence of images while the camera undergoes pure rotation and can be used both for laboratory calibration and for self calibration in autonomous robots working in unstructured environments.
Camera Calibration with Distortion Models and Accuracy Evaluation
TLDR
A camera model that accounts for major sources of camera distortion, namely, radial, decentering, and thin prism distortions is presented and a type of measure is introduced that can be used to directly evaluate the performance of calibration and compare calibrations among different systems.
Accurate internal camera calibration using rotation, with analysis of sources of error
  • G. Stein
  • Physics
    Proceedings of IEEE International Conference on Computer Vision
  • 1995
TLDR
A simple and accurate method for internal camera calibration based on tracking image features through a sequence of images while the camera undergoes pure rotation that can be used both for laboratory calibration and for self calibration in autonomous robots.
Nonparametric correction of distortion
TLDR
A new algorithm to remove distortion is presented, similar to the plumb line method but it uses images of spheres rather than lines, corrects to stereographic rather than perspective projection, and uses a nonparametric distortion model.
Camera Calibration of the KTH Head-Eye System
TLDR
Methods and techniques for calibrating cameras of the KTH head-eye system, in particular, intrinsic parameters, are presented and the intention is to build up look-up-tables for them so that the authors can index them and no on-the-job calibration is needed.
Geometric Invariance in Computer Vision
Geometric Invariance in Computer Vision, edited by Joseph L. Mundy and Andrew Zisserman, the MIT Press, 1992, $70.95 in Europe.
Take It EASEA
TLDR
EASEA (acronym for EAsy Specification of Evolutionciry Algorithms): a new high-level language dedicated to the specification of evolutionary algorithms, compiles .ez files into source files in a target language, containing function calls to a chosen existing library.
Appariement d'images par invariants locaux de niveaux de gris. Application à l'indexation d'une base d'objets. (Image matching by local greyvalue invariants. Applied to indexing an object database)
TLDR
Une methode statistiquement robuste fait emerger la solution a la recherche d'une image dans une volumineuse base d'images and a la reconnaissance d'objets.
Easea Specification for Evolutionary Algorithms
  • User Manual, and Reference Manual, INRIA-Ecole Polytechnique-ENSTA, 2001.
  • 2001
...
...