choon-smc2015cr.pdf (886.49 kB)
Will wrinkle estimate the face age?
conference contribution
posted on 2016-02-08, 14:45 authored by Choon-Ching Ng, Moi Hoon Yap, Nicholas Costen, Baihua LiBaihua LiThe majority of current facial age estimation methods
are based on appearance based features. However, wrinklebased
research has not been widely addressed. In this paper,
we propose a novel method based on multi-scale aging patterns
(MAP). These directly extract the features from local patches
without extensive geometric modelling. First, we locate facial
landmarks by using the Face++ detector and then normalize
the face by using a linear transformation. We define a face
template which consists of ten predefined wrinkle regions. Then,
for each region, we detect wrinkles and construct aging patterns
by using the proposed methods. Finally, the age is estimated
by implementing the support vector machine for regression.
The performance of the algorithms is assessed by using mean
absolute error (MAE) on the benchmark database - FERET. We
observe that MAP produces the lowest MAE of 4.87 on FERET
compared to the benchmark algorithms. Therefore, we conclude
that wrinkle could be used as a feature on face age estimation.
Future work would involve improvements of the algorithm by
combining other descriptors such as non-wrinkle descriptor and
appearance parameters.
History
School
- Science
Department
- Computer Science
Published in
IEEE Conf. (SMC) Systems, Man, and CyberneticsCitation
NG, C. ... et al, 2015. Will wrinkle estimate the face age? IEEE Conference on Systems, Man, and Cybernetics (SMC), 9th-12th October 2015, Hong Kong, pp.2418-2423Publisher
© IEEEVersion
- AM (Accepted Manuscript)
Publisher statement
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2015Notes
This is the accepted manuscript version of the paper. © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Publisher version
Language
- en