Face Joint Alignment Using Local Method

DOI

10.2991/icmemtc-16.2016.3How to use a DOI?

Keywords

Face recognition; face alignment; joint alignment

Abstract

It is an under-determined problem that local methods are used for face alignment of an image, although good results can be obtained by using an auxiliary model or a priori information. In comparison, joint alignment using multiple face images of the same person has more advantages. In this paper, the rectangle round a face is acquired, and then logistic regressors are used to obtain the candidates of the regions round the landmark points. The non-parametric face shape models are used to constrain the configuration among the regions. On this basis, Generalized Procrustes Analysis is used for rigid joint alignment. Tests are carried out on LFW dataset, and the results show that joint alignment will cause overall drifting, and but helpful for facial landmark alignment in outer contour.

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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TY  - CONF
AU  - Gang Zhang
AU  - Tang Sikan
AU  - Lian Qiang Niu
PY  - 2016/04
DA  - 2016/04
TI  - Face Joint Alignment Using Local Method
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 11
EP  - 14
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.3
DO  - 10.2991/icmemtc-16.2016.3
ID  - Zhang2016/04
ER  -