ML Anthology

Pose Clustering on Constraints for Object Recognition

Chennubhotla S. Chakravarthy, Rangachar Kasturi
CVPR 1991 pp. 16-21
doi:10.1109/CVPR.1991.139654 /cvpr/1991/chakravarthy1991cvpr-pose/

Abstract

The authors investigate a way of improving Hough transform performance using the spatial relations that exist between model features. Clusters of scene features possibly belonging to a model are grouped by a series of one-dimensional Hough transforms. The results presented illustrate the effectiveness of the methods.< <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

Chakravarthy and Kasturi. "Pose Clustering on Constraints for Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139654

Markdown

[Chakravarthy and Kasturi. "Pose Clustering on Constraints for Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/chakravarthy1991cvpr-pose/) doi:10.1109/CVPR.1991.139654

BibTeX

@inproceedings{chakravarthy1991cvpr-pose,
  title     = {{Pose Clustering on Constraints for Object Recognition}},
  author    = {Chakravarthy, Chennubhotla S. and Kasturi, Rangachar},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {16-21},
  doi       = {10.1109/CVPR.1991.139654},
  url       = {https://mlanthology.org/cvpr/1991/chakravarthy1991cvpr-pose/}
}