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A Comparative Study on 2D Curvature Estimators
Kolkata, India March 05-March 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.2International Conference on Computing ...
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Simon Hermann, Reinhard Klette, "A Comparative Study on 2D Curvature Estimators," International Conference on Computing: Theory and Applications, pp. 584-589, International Conference on Computing: Theory and Applications (ICCTA'07), 2007.
 
 
BibTex
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@article{ 10.1109/ICCTA.2007.2,
author = {Simon Hermann and Reinhard Klette},
title = {A Comparative Study on 2D Curvature Estimators},
journal ={International Conference on Computing: Theory and Applications},
volume = {0},
year = {2007},
isbn = {0-7695-2770-1},
pages = {584-589},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCTA.2007.2},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Conference on Computing: Theory and Applications
TI - A Comparative Study on 2D Curvature Estimators
SN - 0-7695-2770-1
SP584
EP589
A1 - Simon Hermann,
A1 - Reinhard Klette,
PY - 2007
KW - null
VL - 0
JA - International Conference on Computing: Theory and Applications
ER -
 
Simon Hermann, University of Gottingen, Germany
Reinhard Klette, University of Auckland, New Zealand
Curvature is a frequently used property in two-dimensional (2D) shape analysis, directly or for derived features such as corners or convex and concave arcs. This paper presents curvature estimators which follow approaches in differential geometry. Digital-straight segment approximation (as known from digital geometry) is used in those estimators. Results of multigrid experiments are evaluated leading to a comparative performance analysis of several curvature estimators.
Citation:
Simon Hermann, Reinhard Klette, "A Comparative Study on 2D Curvature Estimators," iccta, pp.584-589, International Conference on Computing: Theory and Applications (ICCTA'07), 2007
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