ML Anthology

A Pyramidal Stereovision Algorithm Based on Contour Chain Points

Aimé Meygret, Monique Thonnat, Marc Berthod
ECCV 1990 pp. 83-88
doi:10.1007/BFB0014853 /eccv/1990/meygret1990eccv-pyramidal/

Abstract

We are interested in matching stereoscopic images involving both natural objects (vegetation, sky, reliefs,...) and man made objects (buildings, roads, vehicles,...). In this context we have developed a pyramidal stereovision algorithm based on ”contour chain points.” The matching process is performed at different steps corresponding to the different resolutions. The nature of the primitives allows the algorithm to deal with rich and complex scenes. Goods results are obtained for extremely fast computing time.

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Cite

Text

Meygret et al. "A Pyramidal Stereovision Algorithm Based on Contour Chain Points." European Conference on Computer Vision, 1990. doi:10.1007/BFB0014853

Markdown

[Meygret et al. "A Pyramidal Stereovision Algorithm Based on Contour Chain Points." European Conference on Computer Vision, 1990.](https://mlanthology.org/eccv/1990/meygret1990eccv-pyramidal/) doi:10.1007/BFB0014853

BibTeX

@inproceedings{meygret1990eccv-pyramidal,
  title     = {{A Pyramidal Stereovision Algorithm Based on Contour Chain Points}},
  author    = {Meygret, Aimé and Thonnat, Monique and Berthod, Marc},
  booktitle = {European Conference on Computer Vision},
  year      = {1990},
  pages     = {83-88},
  doi       = {10.1007/BFB0014853},
  url       = {https://mlanthology.org/eccv/1990/meygret1990eccv-pyramidal/}
}