A convolutional approach to reflection symmetry

作者：Cicconet Marcelo^*; Birodkar Vighnesh; Lund Mads; Werman Michael; Geiger Davi

来源：Pattern Recognition Letters, 2017, 95: 44-50.

DOI：10.1016/j.patrec.2017.03.022

• Mirror symmetry
• Reflection symmetry

We present a convolutional approach to reflection symmetry detection in 2D. Our model, built on the products of complex-valued wavelet convolutions, simplifies previous edge-based 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 in the single-symmetry case. We release code and a new, larger image database.

• 出版日期2017-8-1