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2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)
Affine Invariance Revisited
New York, NY
June 17-June 22
ISBN: 0-7695-2597-0
ASCII Text
x 
 
Evgeni Begelfor, Michael Werman, "Affine Invariance Revisited," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 2087-2094, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CVPR.2006.50,
author = {Evgeni Begelfor and Michael Werman},
title = {Affine Invariance Revisited},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {2},
year = {2006},
issn = {1063-6919},
pages = {2087-2094},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Affine Invariance Revisited
SN - 1063-6919
SP2087
EP2094
A1 - Evgeni Begelfor,
A1 - Michael Werman,
PY - 2006
KW - null
VL - 2
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Evgeni Begelfor, Hebrew University of Jerusalem
Michael Werman, Hebrew University of Jerusalem
This paper proposes a Riemannian geometric framework to compute averages and distributions of point configurations so that different configurations up to affine transformations are considered to be the same. The algorithms are fast and proven to be robust both theoretically and empirically. The utility of this framework is shown in a number of affine invariant clustering algorithms on image point data.
Citation:
Evgeni Begelfor, Michael Werman, "Affine Invariance Revisited," cvpr, vol. 2, pp.2087-2094, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06), 2006
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