Wang, H, Wei, X orcid.org/0000-0002-6064-7290, Sanchez, V et al. (1 more author) (2018) Fusion Network for Face-Based Age Estimation. In: Proceeding of 25th IEEE International Conference on Image Processing (ICIP 2018). ICIP 2018: 25th IEEE International Conference on Image Processing, 07-10 Oct 2018, Athens, Greece. IEEE , pp. 2675-2679. ISBN 978-1-4799-7061-2
Abstract
Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs still consider a face as a typical object and do not pay enough attention to facial regions that carry age-specific feature for this particular task. In this paper, we propose a novel CNN architecture called Fusion Network (Fusion-Net) to tackle the age estimation problem. Apart from the whole face image, the FusionNet successively takes several age-specific facial patches as part of the input to emphasize the age-specific features. Through experiments, we show that the FusionNet significantly outperforms other state-of-the-art models on the MORPH II benchmark.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Age Estimation; Soft Biometrics; Feature Extraction; Convolutional Neural Network |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Decision Research (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Mar 2019 14:45 |
Last Modified: | 12 Mar 2019 14:45 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ICIP.2018.8451606 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143503 |