A New Shape Segmentation Approach for Active Vision Systems

Aldon, Marie-José; Strauss, Olivier

doi:10.1109/CVPR.1991.139792

A New Shape Segmentation Approach for Active Vision Systems

Marie-José Aldon, Olivier Strauss

CVPR 1991 pp. 708-709

doi:10.1109/CVPR.1991.139792 /cvpr/1991/aldon1991cvpr-new/

Abstract

A solution to extract 3-D shapes from a structured light image is presented. The 2-D striped image is segmented into regions corresponding to quadratic surfaces. A fuzzy analysis of the stripe's properties allows one to locate discontinuities and to model stripe parts. These parts are tracked in consecutive images and matched in order to create regions. Segmentation results are presented which were obtained with a real scene consisting of multiple objects of arbitrary shapes.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Aldon and Strauss. "A New Shape Segmentation Approach for Active Vision Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139792

Markdown

[Aldon and Strauss. "A New Shape Segmentation Approach for Active Vision Systems." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/aldon1991cvpr-new/) doi:10.1109/CVPR.1991.139792

BibTeX

@inproceedings{aldon1991cvpr-new,
  title     = {{A New Shape Segmentation Approach for Active Vision Systems}},
  author    = {Aldon, Marie-José and Strauss, Olivier},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {708-709},
  doi       = {10.1109/CVPR.1991.139792},
  url       = {https://mlanthology.org/cvpr/1991/aldon1991cvpr-new/}
}