ML Anthology

Towards a General Framework for Feature Extraction

Theo Moons, Eric J. Pauwels, Luc Van Gool, André Oosterlinck
CVPR 1992 pp. 865-868
doi:10.1109/CVPR.1992.223237 /cvpr/1992/moons1992cvpr-general/

Abstract

It is shown how object recognition and optical flow can be captured within a single framework. These examples have been selected because they illustrate two complementary problems which can be tackled using the same unified approach based on Lie theory. The object recognition work referred to is based on the extraction of shape invariants and has been reported elsewhere. The present study focuses on using the same framework for the calculation of the optical flow. Besides the introduction of some new methods, it is shown that several well-known schemes can be derived following the same principles.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Moons et al. "Towards a General Framework for Feature Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223237

Markdown

[Moons et al. "Towards a General Framework for Feature Extraction." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/moons1992cvpr-general/) doi:10.1109/CVPR.1992.223237

BibTeX

@inproceedings{moons1992cvpr-general,
  title     = {{Towards a General Framework for Feature Extraction}},
  author    = {Moons, Theo and Pauwels, Eric J. and Van Gool, Luc and Oosterlinck, André},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {865-868},
  doi       = {10.1109/CVPR.1992.223237},
  url       = {https://mlanthology.org/cvpr/1992/moons1992cvpr-general/}
}