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Detection of Mirror-Symmetric Image Patches
AbstractWe propose a novel approach for detecting partial reflectional symmetry in images. Our method consists of two principal stages: candidate selection and validation. In the first step, candidates for mirror-symmetric patches are identified using an existing heuristic procedure based on Hough voting. The candidates are then validated using a principled statistical procedure inspired from the a contrario theory, which minimizes the number of false positives. Our algorithm uses integral image properties to enhance the execution time.
Related Material
[pdf][bibtex]@InProceedings{Patraucean_2013_CVPR_Workshops,
author = {Patraucean, Viorica and von Gioi, Rafael Grompone and Ovsjanikov, Maks},
title = {Detection of Mirror-Symmetric Image Patches},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2013}
}
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