A combined local facial feature extraction for age estimation

DOI

10.2991/iccnce.2013.88How to use a DOI?

Keywords

sp–PCA , LBP , RCA (Relevant Component Analysis)

Abstract

Age estimation is an important enabling capability for its potential applications in the near future , especially in supervision of minors , retrieving photograpgs at specific age ranges in e-photoalbums, and predicting future facial appearance of subjects . Due to the intrinsic and external factors the age estimation is a very complex task . One of the most important steps is feature extraction . However , Single feature extraction methods are commonly used , and all of them have their own drawbacks and limitations . In this paper , LBP combined with sp-PCA[1] method for age feature extraction is proposed . Addtionally in order to make the intra-class more compact , extra-class more loose , We adopt the Relevant Component Analysis(RCA) for distance metric adjustment .

Copyright

© 2013, 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  - Shasha Xu
AU  - Hongbin Zhang
AU  - Jianwen Wang
PY  - 2013/07
DA  - 2013/07
TI  - A combined local facial feature extraction for age estimation
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 351
EP  - 354
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.88
DO  - 10.2991/iccnce.2013.88
ID  - Xu2013/07
ER  -