Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

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Improved SIFT Feature Extraction of Image Registration Algorithm Research

Authors
Ping Han, Huifang Hou
Corresponding Author
Ping Han
Available Online June 2015.
DOI
10.2991/icecee-15.2015.313How to use a DOI?
Keywords
SIFT; Isomap; Lle; Feature extraction.
Abstract

This paper uses Isoapm's dimensions to improve sift matching algorithm and reduce the computation. The characteristics of the SIFT are determined by using association rules support to further correct match points. The experimental results show that the algorithm is effective, which improves the speed and reduces the registration error.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
10.2991/icecee-15.2015.313How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Ping Han
AU  - Huifang Hou
PY  - 2015/06
DA  - 2015/06
TI  - Improved SIFT Feature Extraction of Image Registration Algorithm Research
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1661
EP  - 1664
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.313
DO  - 10.2991/icecee-15.2015.313
ID  - Han2015/06
ER  -