21 July 2017 Age estimation of facial image based on convolution neural network
Author Affiliations +
Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042002 (2017); doi: 10.1117/12.2281756
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
Age is an inherent biological characteristic of human and is reflected in facial images to a certain extent. A method for estimating age from a facial image by combining CNN (Convolution Neural Network) with SVR (Support Vector Regression) is proposed. First, a deep CNN is trained to automatically extract age features from facial images and classify them into variant age groups. Then different SVRs are trained for each age group to estimate the age of a facial image. The experimental results show that a lower MAE (Mean Absolute Error) of age estimation on MORPH database is obtained.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaodong Meng, Yifeng Wang, Haihong Zheng, "Age estimation of facial image based on convolution neural network", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042002 (21 July 2017); doi: 10.1117/12.2281756; http://dx.doi.org/10.1117/12.2281756
PROCEEDINGS
5 PAGES


SHARE
KEYWORDS
Neural networks

Convolution

Image analysis

Back to Top