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Title: Will wrinkle estimate the face age?
Authors: Ng, Choon-Ching
Yap, Moi Hoon
Costen, Nicholas
Li, Baihua
Keywords: Age estimation
Wrinkle detection
Multi-scale filter
Support vector regression
Issue Date: 2015
Publisher: © IEEE
Citation: 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.2418-2423
Abstract: The 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.
Description: 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.
Version: Accepted for publication
DOI: 10.1109/SMC.2015.423
URI: https://dspace.lboro.ac.uk/2134/20251
Publisher Link: http://dx.doi.org/10.1109/SMC.2015.423
Appears in Collections:Conference Papers and Presentations (Computer Science)

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