@inproceedings{e3dd8e12b909460db17d2417bd28ae6a,
title = "Curved glide-reflection symmetry detection",
abstract = "We generalize reflection symmetry detection to a curved glide-reflection symmetry detection problem. We propose a unifying, local feature-based approach for curved glidereflection symmetry detection from real, unsegmented images, where the classic reflection symmetry becomes one of four special cases. Our method detects and groups statistically dominant local reflection axes in a 3D parameter space. A curved glide-reflection symmetry axis is estimated by a set of contiguous local straight reflection axes. Experimental results of the proposed algorithm on 40 real world images demonstrate promising performance.",
author = "Seungkyu Lee and Yanxi Liu",
year = "2009",
doi = "10.1109/CVPRW.2009.5206814",
language = "English (US)",
isbn = "9781424439935",
series = "2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009",
publisher = "IEEE Computer Society",
pages = "1046--1053",
booktitle = "2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009",
address = "United States",
note = "2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009 ; Conference date: 20-06-2009 Through 25-06-2009",
}