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Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 2
Fitting Globally Stabilized Algebraic Surfaces to Range Data
Beijing, China
October 17-October 20
ISBN: 0-7695-2334-X
ASCII Text
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Turker Sahin, Mustafa Unel, "Fitting Globally Stabilized Algebraic Surfaces to Range Data," Computer Vision, IEEE International Conference on, vol. 2, pp. 1083-1088, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 2, 2005.
 
 
BibTex
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@article{ 10.1109/ICCV.2005.101,
author = {Turker Sahin and Mustafa Unel},
title = {Fitting Globally Stabilized Algebraic Surfaces to Range Data},
journal ={Computer Vision, IEEE International Conference on},
volume = {2},
year = {2005},
issn = {1550-5499},
pages = {1083-1088},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2005.101},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision, IEEE International Conference on
TI - Fitting Globally Stabilized Algebraic Surfaces to Range Data
SN - 1550-5499
SP1083
EP1088
A1 - Turker Sahin,
A1 - Mustafa Unel,
PY - 2005
KW - null
VL - 2
JA - Computer Vision, IEEE International Conference on
ER -
 
Turker Sahin, Gebze Institute of Technology
Mustafa Unel, Sabanci University
Linear fitting of implicit algebraic models to data usually suffers from global stability problems. Complicated object structures can accurately be modeled by closed-bounded surfaces of higher degrees using ridge regression. This paper derives an explicit formula for computing a Euclidean invariant 3D ridge regression matrix and applies it for the global stabilization of a particular linear fitting method. Experiments show that the proposed approach improves global stability of resulting surfaces significantly.
Citation:
Turker Sahin, Mustafa Unel, "Fitting Globally Stabilized Algebraic Surfaces to Range Data," iccv, vol. 2, pp.1083-1088, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 2, 2005
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