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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Finding Point Correspondence Using Local Similarity and Global Constraint
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Jen-Hui Chuang, Jau-Hong Kao, Chien-Chou Lin, "Finding Point Correspondence Using Local Similarity and Global Constraint," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 258-261, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.278,
author = {Jen-Hui Chuang and Jau-Hong Kao and Chien-Chou Lin},
title = {Finding Point Correspondence Using Local Similarity and Global Constraint},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {258-261},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.278},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Finding Point Correspondence Using Local Similarity and Global Constraint
SN - 0-7695-2616-0
SP258
EP261
A1 - Jen-Hui Chuang,
A1 - Jau-Hong Kao,
A1 - Chien-Chou Lin,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Jen-Hui Chuang, National Chiao Tung University, Taiwan, R.O.C.
Jau-Hong Kao, National Chiao Tung University, Taiwan, R.O.C.
Chien-Chou Lin, Shu-Te University, Taiwan, R.O.C.
Establishing feature point correspondences from a pair of stereo images or a long sequence of images is a very important research topic in computer vision. In this paper, an algorithm using local similarity and global constraint to obtain point correspondence is proposed. The point correspondences are obtained by comparing the color codes, computed by image gradients obtained as by-products from the corner detector, and spatial relationships among neighboring feature points.
Citation:
Jen-Hui Chuang, Jau-Hong Kao, Chien-Chou Lin, "Finding Point Correspondence Using Local Similarity and Global Constraint," icicic, vol. 2, pp.258-261, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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