A convolutional approach to reflection symmetry

@article{Cicconet2017ACA,
  title={A convolutional approach to reflection symmetry},
  author={Marcelo Cicconet and Vighnesh Birodkar and Mads Lund and Michael Werman and Davi Geiger},
  journal={Pattern Recognition Letters},
  year={2017},
  volume={95},
  pages={44-50}
}
We present a convolutional approach to reflection symmetry detection in 2D. Our model, built on the products of complex-valued wavelet convolutions, simplifies previous edgebased pairwise methods. Being parameter-centered, as opposed to feature-centered, it has certain computational advantages when the object sizes are known a priori, as demonstrated in an ellipse detection application. The method outperforms the best-performing algorithm on the CVPR 2013 Symmetry Detection Competition Database… CONTINUE READING
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