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On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104818716th International Conference on Patt ...
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Rein van den Boomgaard, Joost van de Weijer, "On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks," Pattern Recognition, International Conference on, vol. 3, pp. 30927, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048187,
author = {Rein van den Boomgaard and Joost van de Weijer},
title = {On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30927},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048187},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks
SN - 1051-4651
SP
EP
A1 - Rein van den Boomgaard,
A1 - Joost van de Weijer,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Rein van den Boomgaard, University of Amsterdam
Joost van de Weijer, University of Amsterdam
In this paper we show the equivalence of three techniques used in image processing: local-mode finding, robust-estimation and mean-shift analysis. The computational common element in all these image operators is the spatial-tonal normalized convolution, an image operator that generalizes the bilateral filter.
Citation:
Rein van den Boomgaard, Joost van de Weijer, "On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks," icpr, vol. 3, pp.30927, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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