A convolutional approach to reflection symmetry

TY - JOUR

T1 - A convolutional approach to reflection symmetry

AU - Cicconet, Marcelo

AU - Birodkar, Vighnesh

AU - Lund, Mads

AU - Werman, Michael

AU - Geiger, Davi

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

AB - 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.

KW - Mirror symmetry

KW - Reflection symmetry

UR - http://www.scopus.com/inward/record.url?scp=85020286133&partnerID=8YFLogxK

U2 - 10.1016/j.patrec.2017.03.022

DO - 10.1016/j.patrec.2017.03.022

M3 - Journal article

AN - SCOPUS:85020286133

SN - 0167-8655

VL - 95

SP - 44

EP - 50

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

ER -