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Robust Circle Detection
Curitiba, Parana, Brazil September 23-September 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.223Ninth International Conference on Doc ...
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B. Lamiroy, L. Fritz, O. Gaucher, "Robust Circle Detection," Document Analysis and Recognition, International Conference on, vol. 1, pp. 526-530, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.223,
author = {B. Lamiroy and L. Fritz and O. Gaucher},
title = {Robust Circle Detection},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {526-530},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.223},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Robust Circle Detection
SN - 1520-5363
SP526
EP530
A1 - B. Lamiroy,
A1 - L. Fritz,
A1 - O. Gaucher,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
B. Lamiroy, Nancy Universit? - INPL - LORIA, France
L. Fritz, Nancy Universit? - INPL - LORIA, France
O. Gaucher, Nancy Universit? - INPL - LORIA, France
In this paper we present a method of robustly detect cir- cles in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of its detection. It is based on Random Sample Consensus mini- mization, and uses techniques that are inspired from object tracking in image sequences. Note : some details of the illustrations in this paper are in colour. Reading them on a greylevel printout will reduce their intelligibility.
Citation:
B. Lamiroy, L. Fritz, O. Gaucher, "Robust Circle Detection," icdar, vol. 1, pp.526-530, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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