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Skewed Symmetry Groups
Y. Liu and R. Collins
IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, December, 2001, pp. 872 - 879.

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Abstract

We introduce the term skewed symmetry groups and provide a complete theoretical treatment for 2D wallpaper groups under affine transformations. For the first time, a given periodic pattern can be classified not simply by its Euclidean symmetry group but by its highest ``potential'' symmetry group under affine deformation. A concise wallpaper group migration map is constructed that separates the 17 affinely deformed wallpaper groups into small, distinct orbits. The practical value of this result includes a novel indexing and retrieval scheme for regular patterns, and a maximal-symmetry-based method for estimating shape and orientation from texture under unknown views.

Notes

Associated center: VASC
Associated lab/group: Computational Symmetry
Associated project: A Computational Model for Repeated Pattern Perception using Crystallographic Groups

Number of pages: 8

Text Reference

Y. Liu and R. Collins, "Skewed Symmetry Groups," IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, December, 2001, pp. 872 - 879.

BibTeX Reference

@inproceedings{Liu_2001_3815,
   author = "Yanxi Liu and Robert Collins",
   title = "Skewed Symmetry Groups",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
   month = "December",
   year = "2001",
   volume = "1",
   pages = "872 - 879"
}


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