Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Study on the Method and Implemention of Face Location

Authors
Luqi Pan, Qingwen Ma, Zhenyu Wang, Peijiang Chen, Fusheng Liu
Corresponding Author
Luqi Pan
Available Online July 2017.
DOI
10.2991/iccse-17.2017.5How to use a DOI?
Keywords
Face location, Skin color clustering, Morphology, Image processing
Abstract

The face recognition technology is to analyze the target image and detect the characteristic information of the face. It is used widely in peoples life and its' basis is face location technology. In this study, several methods of face location technology are analyzed and compared. A face location method based on skin color clustering is analyzed in detail. The realizing process is given and the experiment is carried out. The results indicated that this method can realize the function of face location and can lay foundation for subsequent processing of face images.

Copyright
© 2017, 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 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.5
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.5How to use a DOI?
Copyright
© 2017, 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  - Luqi Pan
AU  - Qingwen Ma
AU  - Zhenyu Wang
AU  - Peijiang Chen
AU  - Fusheng Liu
PY  - 2017/07
DA  - 2017/07
TI  - Study on the Method and Implemention of Face Location
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 26
EP  - 29
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.5
DO  - 10.2991/iccse-17.2017.5
ID  - Pan2017/07
ER  -