Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

Rapid Estimation for Logo Detection on Mobile Devices

Authors
Lusi Liao, Shuwu Zhang, Shuqi Wang
Corresponding Author
Lusi Liao
Available Online June 2016.
DOI
10.2991/icamcs-16.2016.124How to use a DOI?
Keywords
logo detection, geometric feature, best overlap, mobile devices.
Abstract

Along with the technological development, running complicated program on mobile phone become possible. Mobile device allows to easily capture pictures and do corresponding processing. Thus, this paper puts forward a rapid estimation method which is aimed at detecting large-scale logos in the natural environment by using mobile device. For this purpose, feature detectors and objectness measure are applied to rapid estimation method. By using the feature extraction results to evaluate the objectness results, the higher the evaluation is, the more possible the objectness result is a logo region. This paper take 1000 pictures in the natural environment for measurement, the experiment results show the effectiveness of the method.

Copyright
© 2016, 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 2016 5th International Conference on Advanced Materials and Computer Science
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/icamcs-16.2016.124
ISSN
2352-5401
DOI
10.2991/icamcs-16.2016.124How to use a DOI?
Copyright
© 2016, 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

TY  - CONF
AU  - Lusi Liao
AU  - Shuwu Zhang
AU  - Shuqi Wang
PY  - 2016/06
DA  - 2016/06
TI  - Rapid Estimation for Logo Detection on Mobile Devices
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 608
EP  - 613
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.124
DO  - 10.2991/icamcs-16.2016.124
ID  - Liao2016/06
ER  -