Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)

A Face Detector Based On Flexible Matching

Authors
Guang Chen
Corresponding Author
Guang Chen
Available Online December 2016.
DOI
10.2991/icsma-16.2016.132How to use a DOI?
Keywords
Face detection, Hausdorff distance.
Abstract

Face detector is the first stage for some biometric applications, like face recognition or advanced human computer interaction, which usually needs the face detection step to be efficient and robust enough to achieve better results. In this paper Hausdorff distance is used to search interested region, which is more similar to a face. A further verification step is taken to detect some false positives. Experiments show that the proposed face detector can perform accurate face detection even with complex background.

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 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
10.2991/icsma-16.2016.132
ISSN
1951-6851
DOI
10.2991/icsma-16.2016.132How 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  - Guang Chen
PY  - 2016/12
DA  - 2016/12
TI  - A Face Detector Based On Flexible Matching
BT  - Proceedings of the 2016 4th International Conference on Sensors, Mechatronics and Automation (ICSMA 2016)
PB  - Atlantis Press
SP  - 763
EP  - 766
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsma-16.2016.132
DO  - 10.2991/icsma-16.2016.132
ID  - Chen2016/12
ER  -