ML Anthology

Genetic Algorithms Applied to Binocular Stereovision

Régis Vaillant, Laurent Guéguen
ECCV 1994 pp. 193-198
doi:10.1007/BFB0028351 /eccv/1994/vaillant1994eccv-genetic/

Abstract

This paper describes an original approach to the problem of edge-based binocular stereovision. The tokens to be matched are subchains of the chains of connected pixels. Local constraints of the stereovision problem are first used in associating to each token a set of potential matches. Global constraints are embedded in a cost function and we look for the minimum of this cost function. The optimisation search is conducted using genetic algorithms.

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Text

Vaillant and Guéguen. "Genetic Algorithms Applied to Binocular Stereovision." European Conference on Computer Vision, 1994. doi:10.1007/BFB0028351

Markdown

[Vaillant and Guéguen. "Genetic Algorithms Applied to Binocular Stereovision." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/vaillant1994eccv-genetic/) doi:10.1007/BFB0028351

BibTeX

@inproceedings{vaillant1994eccv-genetic,
  title     = {{Genetic Algorithms Applied to Binocular Stereovision}},
  author    = {Vaillant, Régis and Guéguen, Laurent},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {193-198},
  doi       = {10.1007/BFB0028351},
  url       = {https://mlanthology.org/eccv/1994/vaillant1994eccv-genetic/}
}