Eyebrow Modeling For Knowlege Representation

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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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  -