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2006 IEEE International Conference on Multimedia and Expo
Optimized Chamfer Matching for Snake-Based Image Contour Representations
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
ASCII Text
x 
 
Andras Hajdu, Athanasios Roubies, Ioannis Pitas, "Optimized Chamfer Matching for Snake-Based Image Contour Representations," Multimedia and Expo, IEEE International Conference on, pp. 1017-1020, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICME.2006.262706,
author = {Andras Hajdu and Athanasios Roubies and Ioannis Pitas},
title = {Optimized Chamfer Matching for Snake-Based Image Contour Representations},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {1017-1020},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262706},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - Optimized Chamfer Matching for Snake-Based Image Contour Representations
SN - 1-4244-0366-7
SP1017
EP1020
A1 - Andras Hajdu,
A1 - Athanasios Roubies,
A1 - Ioannis Pitas,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Andras Hajdu, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece
Athanasios Roubies, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece
Ioannis Pitas, Artificial Intelligence and Information Analysis Laboratory, Department of Informatics, Aristotle University of Thessaloniki, Greece. e-mail: pitas@zeus.csd.auth.gr
In this paper we present a novel method on how to take advantage of the snake representation of target objects, when doing chamfer matching for detection/recognition purposes. In this case several time-consuming steps of classic chamfer matching approaches can be simplified. Moreover, we investigate the possibility of involving less pixels from both the target and template object to speed up computations. We introduce an optimization method for such an object reduction, which is valid also in the general application scheme of chamfer matching. Finally, we present our experimental results regarding human body detection.
Citation:
Andras Hajdu, Athanasios Roubies, Ioannis Pitas, "Optimized Chamfer Matching for Snake-Based Image Contour Representations," icme, pp.1017-1020, 2006 IEEE International Conference on Multimedia and Expo, 2006
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