Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)

Eyebrow Modeling For Knowlege Representation

Authors
Bin Ji, Yan Liu, Jing Zhou
Corresponding Author
Bin Ji
Available Online May 2018.
DOI
10.2991/snce-18.2018.33How to use a DOI?
Keywords
Face eyebrow; Biometric techniques; Semantic knowledge representation; Identification
Abstract

Eyebrow is a new biometric and effective feature for personal identification as evidenced in recent existing literature. In this paper, we propose a new model of eyebrow representation based on both the shape and the texture features of eyebrows. We will integrate the existing Li et al.’s model with a pseudo-sphere-based edge detector, and this integration can improve segmentation performance significantly. Experimental results show that the proposed integration method can extract the eyebrow more accurately than the original Li et al.’s model. Also the proposed eyebrow representation can be used for personal identification via a simple experiment.

Copyright
© 2018, 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 8th International Conference on Social Network, Communication and Education (SNCE 2018)
Series
Advances in Computer Science Research
Publication Date
May 2018
ISBN
10.2991/snce-18.2018.33
ISSN
2352-538X
DOI
10.2991/snce-18.2018.33How to use a DOI?
Copyright
© 2018, 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  - Bin Ji
AU  - Yan Liu
AU  - Jing Zhou
PY  - 2018/05
DA  - 2018/05
TI  - Eyebrow Modeling For Knowlege Representation
BT  - Proceedings of the 8th International Conference on Social Network, Communication and Education (SNCE 2018)
PB  - Atlantis Press
SP  - 158
EP  - 164
SN  - 2352-538X
UR  - https://doi.org/10.2991/snce-18.2018.33
DO  - 10.2991/snce-18.2018.33
ID  - Ji2018/05
ER  -