Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

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KAZE Feature Point with Modified-SIFT Descriptor

Authors
Chen Meixi, Yuan Yule, Zhao Yong
Corresponding Author
Chen Meixi
Available Online November 2013.
DOI
10.2991/icmt-13.2013.153How to use a DOI?
Keywords
feature descriptor; local feature;image match
Abstract

In this paper,we present a novel descriptor,called Modified-SIFT (M-SIFT),which is more suitablefor KAZE feature point than other descriptors such as:SURF and SIFT.Their combining even outperformsSIFT matching algorithm and standard KAZE algorithm. We present extensive experimental image matching results on the Mikolajczyk and Schmid datasetwhich show clear advantages of our descriptor against others.

Copyright
© 2013, 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 3rd International Conference on Multimedia Technology(ICMT-13)
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
10.2991/icmt-13.2013.153How to use a DOI?
Copyright
© 2013, 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  - Chen Meixi
AU  - Yuan Yule
AU  - Zhao Yong
PY  - 2013/11
DA  - 2013/11
TI  - KAZE Feature Point with Modified-SIFT Descriptor
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 1243
EP  - 1251
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.153
DO  - 10.2991/icmt-13.2013.153
ID  - Meixi2013/11
ER  -