ML Anthology

Curved Glide-Reflection Symmetry Detection

Seungkyu Lee, Yanxi Liu
CVPR 2009 pp. 1046-1053
doi:10.1109/CVPR.2009.5206814 /cvpr/2009/lee2009cvpr-curved/

Abstract

We generalize reflection symmetry detection to a curved glide reflection symmetry detection problem. We propose a unifying, local feature based approach for curved glide reflection symmetry detection from real, unsegmented images, where the classic reflection symmetry becomes one of four special cases. Our method detects and groups statistically dominant local reflection axes in a 3D parameter space. A curved glid reflection symmetry axis is estimated by a set of contiguous local straight reflection axes. Experimental results of the proposed algorithm on 40 real world images demonstrate promising performance.

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Cite

Text

Lee and Liu. "Curved Glide-Reflection Symmetry Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009. doi:10.1109/CVPR.2009.5206814

Markdown

[Lee and Liu. "Curved Glide-Reflection Symmetry Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009.](https://mlanthology.org/cvpr/2009/lee2009cvpr-curved/) doi:10.1109/CVPR.2009.5206814

BibTeX

@inproceedings{lee2009cvpr-curved,
  title     = {{Curved Glide-Reflection Symmetry Detection}},
  author    = {Lee, Seungkyu and Liu, Yanxi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2009},
  pages     = {1046-1053},
  doi       = {10.1109/CVPR.2009.5206814},
  url       = {https://mlanthology.org/cvpr/2009/lee2009cvpr-curved/}
}