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Free Form Shape Matching Using Deterministic Annealing and Softassign
Cambridge UK August 23-August 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.133407817th International Conference on Patt ...
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Yonghuai Liu, Longzhuang Li, Ying Wang, "Free Form Shape Matching Using Deterministic Annealing and Softassign," Pattern Recognition, International Conference on, vol. 2, pp. 128-131, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334078,
author = {Yonghuai Liu and Longzhuang Li and Ying Wang},
title = {Free Form Shape Matching Using Deterministic Annealing and Softassign},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2004},
issn = {1051-4651},
pages = {128-131},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334078},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Free Form Shape Matching Using Deterministic Annealing and Softassign
SN - 1051-4651
SP128
EP131
A1 - Yonghuai Liu,
A1 - Longzhuang Li,
A1 - Ying Wang,
PY - 2004
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Yonghuai Liu, University of Wales, Aberystwyth, Wales
Longzhuang Li, Texas A & M University, Corpus Christi, TX
Ying Wang, Xi'an University of Sci. Tech., China
Free form shape matching is a fundamental problem in both the machine vision and pattern recognition literatures. However, the automatic approach to free form shape matching still remains open. In this paper, we improve an existing deterministic annealing and softassign method for automatic free form shape matching through incorporating rigid motion constraints. The experiments based on both synthetic data and real images show the effectiveness of the improved algorithm.
Citation:
Yonghuai Liu, Longzhuang Li, Ying Wang, "Free Form Shape Matching Using Deterministic Annealing and Softassign," icpr, vol. 2, pp.128-131, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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