@inproceedings{10b4435766a7486782060a554e237db8,
title = "Detection of mirror-symmetric image patches",
abstract = "We 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.",
keywords = "a contrario, integral images, mirror symmetry",
author = "Viorica Patraucean and \{Von Gioi\}, \{Rafael Grompone\} and Maks Ovsjanikov",
year = "2013",
month = oct,
day = "8",
doi = "10.1109/CVPRW.2013.38",
language = "English",
isbn = "9780769549903",
series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
pages = "211--216",
booktitle = "Proceedings - 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013",
note = "2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2013 ; Conference date: 23-06-2013 Through 28-06-2013",
}