Winner of ICCV 2017 2D reflection symmetry competitions (among participants - conference rank A*)
Users of this software are encouraged to cite the following article:
- Elawady, Mohamed, Christophe Ducottet, Olivier Alata, Cécile Barat, and Philippe Colantoni. "Wavelet-based reflection symmetry detection via textural and color histograms." In Proceedings, ICCV Workshop on Detecting Symmetry in the Wild, Venice, vol. 3, p. 7. 2017.
@inproceedings{elawady2017wavelet,
title={Wavelet-based reflection symmetry detection via textural and color histograms},
author={Elawady, Mohamed and Ducottet, Christophe and Alata, Olivier and Barat, Cecile and Colantoni, Philippe},
booktitle={Proceedings, ICCV Workshop on Detecting Symmetry in the Wild, Venice},
volume={3},
pages={7},
year={2017}
}
You can download the paper here!
The sample photos are kindly provided by Aesthetic Visual Analysis (AVA) dataset.
Contact: Mohamed Elawady (mohamed [dot] elawady [at] univ-st-etienne [dot] fr)
FILE:
- main.m - code for computer symmetry on an image and display the candidates' info (axes, voting representation)
- symBilOurCentLogGaborHSV.m - code for main function to compute symmetry on an image