Face recognition with illumination, pose and expression variations using SIFT method

DOI

10.2991/icismme-15.2015.142How to use a DOI?

Keywords

PIE conditions; face recognition; SIFT feature; match.

Abstract

Prior research has shown that under the illumination controlled and user cooperative conditions, nearly all of face recognition method perform very well, but when it comes to the variant illumination, pose and expression (PIE) conditions, the performance of these methods degrade seriously. Face recognition in variant PIE conditions is one of the most challenging problem in this field. In this paper, a method based on SIFT features is used to research on face recognition in variable PIE conditions. Three professional PIE-variable face database are used to experiment the performance of SIFT method. The experiment results show the huge potential of SIFT method in application to face recognition in variable PIE conditions.

Copyright

© 2015, 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  - Wei Ge
AU  - Lijuan Cai
AU  - Weida Zhan
PY  - 2015/07
DA  - 2015/07
TI  - Face recognition with illumination, pose and expression variations using SIFT method
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 687
EP  - 690
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.142
DO  - 10.2991/icismme-15.2015.142
ID  - Ge2015/07
ER  -