ML Anthology

Object Recognition by Flexible Template Matching Using Genetic Algorithms

Andrew Hill, Christopher J. Taylor, Timothy F. Cootes
ECCV 1992 pp. 852-856
doi:10.1007/3-540-55426-2_98 /eccv/1992/hill1992eccv-object/

Abstract

We demonstrate the use of a Genetic Algorithm (GA) to match a flexible template model to image evidence. The advantage of the GA is that plausible interpretations can be found in a relatively small number of trials; it is also possible to generate multiple distinct interpretation hypotheses. The method has been applied to the interpretation of ultrasound images of the heart and its performance has been assessed in quantitative terms.

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Cite

Text

Hill et al. "Object Recognition by Flexible Template Matching Using Genetic Algorithms." European Conference on Computer Vision, 1992. doi:10.1007/3-540-55426-2_98

Markdown

[Hill et al. "Object Recognition by Flexible Template Matching Using Genetic Algorithms." European Conference on Computer Vision, 1992.](https://mlanthology.org/eccv/1992/hill1992eccv-object/) doi:10.1007/3-540-55426-2_98

BibTeX

@inproceedings{hill1992eccv-object,
  title     = {{Object Recognition by Flexible Template Matching Using Genetic Algorithms}},
  author    = {Hill, Andrew and Taylor, Christopher J. and Cootes, Timothy F.},
  booktitle = {European Conference on Computer Vision},
  year      = {1992},
  pages     = {852-856},
  doi       = {10.1007/3-540-55426-2_98},
  url       = {https://mlanthology.org/eccv/1992/hill1992eccv-object/}
}