Abstract
Age estimation is an important part of biometric recognition. In this paper, we propose to use Discriminant Face Descriptor (DFD) which learns the most discriminative and related features to age variation in a data-driven way. We use it, for the first time, for facial age Age estimation is an important part of biometric recognition. In this paper, we propose a stacked structure called Discriminant Face Descriptor network (DFDnet) to learn the most discriminative and related features to age variation. We extract the multi-stage Discriminant Face Descriptor (DFD) features which are age-sensitive. We first introduce DFD for facial age estimation instead of original face recognition. Then the bag-of-features method is used so that each image can be represented by the histogram of visual words. Finally, age estimation is achieved via simple linear regression algorithm. Experiments on the publicly available MORPH and FG-NET databases validate the effectiveness of our proposed DFDnet method. To further illuminate the usefulness of our approach in unconstrained environments, we also conduct the experiment on Cross-Age Celebrity Dataset (CACD) which is collected from Internet movie database (IMDB).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lanitis, A., Taylor, C.J., Cootes, T.F.: Toward automatic simulation of aging effects on face images. Pattern Analysis and Machine Intelligence (2002)
Geng, X., Zhou, Z.H., Zhang, Y., Li, G., Dai, H.: Learning from facial aging patterns for automatic age estimation. In: Multimedia. ACM (2006)
Geng, X., Zhou, Z.H., Smith-Miles, K.: Automatic age estimation based on facial aging patterns. Pattern Analysis and Machine Intelligence (2007)
Fu, Y., Xu, Y., Huang, T.S.: Estimating human age by manifold analysis of face pictures and regression on aging features. In: Multimedia and Expo. IEEE (2007)
Fu, Y., Huang, T.S.: Human age estimation with regression on discriminative aging manifold. Multimedia (2008)
Guo, G., Fu, Y., Dyer, C.R., Huang, T.S.: Image-based human age estimation by manifold learning and locally adjusted robust regression. Image Processing (2008)
Gunay, A., Nabiyev, V.V.: Automatic age classification with LBP. In: Computer and Information Sciences. IEEE (2008)
Takimoto, H., Mitsukura, Y., Fukumi, M., Akamatsu, N.: Robust gender and age estimation under varying facial pose. Electronics and Communications in Japan (2008)
Yan, S., Liu, M., Huang, T.S.: Extracting age information from local spatially flexible patches. In: Acoustics, Speech and Signal Processing. IEEE (2008)
Suo, J., Wu, T., Zhu, S., Shan, S., Chen, X., Gao, W.: Design sparse features for age estimation using hierarchical face model. In: Automatic Face & Gesture Recognition. IEEE (2008)
Guo, G., Mu, G., Fu, Y., Huang, T.S.: Human age estimation using bio-inspired features. In: Computer Vision and Pattern Recognition. IEEE (2009)
Yi, D., Lei, Z., Li, S.Z.: Age estimation by multi-scale convolutional network. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9005, pp. 144–158. Springer, Heidelberg (2015)
Fernández, C., Huerta, I., Prati, A.: A comparative evaluation of regression learning algorithms for facial age estimation. In: FFER in conjunction with ICPR. IEEE (2014) (in press)
Guo, G., Mu, G.: Joint estimation of age, gender and ethnicity: CCA vs. PLS. In: Automatic Face and Gesture Recognition. IEEE (2013)
Lei, Z., Pietikainen, M., Li, S.Z.: Learning discriminant face descriptor. Pattern Analysis and Machine Intelligence (2014)
Ricanek, K., Tesafaye, T.: Morph: a longitudinal image database of normal adult age-progression. In: Automatic Face and Gesture Recognition. IEEE (2006)
The FG-NET aging database. http://www.fgnet.rsunit.com/
Chen, B.-C., Chen, C.-S., Hsu, W.H.: Cross-age reference coding for age-invariant face recognition and retrieval. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part VI. LNCS, vol. 8694, pp. 768–783. Springer, Heidelberg (2014)
Chan, T.H., Jia, K., Gao, S., Lu, J., Zeng, Z., Ma, Y.: Pcanet: A simple deep learning baseline for image classification? arXiv preprint arXiv:1404.3606 (2014)
Geng, X., Yin, C., Zhou, Z.H.: Facial age estimation by learning from label distributions. Pattern Analysis and Machine Intelligence (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Liu, T., Lei, Z., Wan, J., Li, S.Z. (2015). DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_76
Download citation
DOI: https://doi.org/10.1007/978-3-319-25417-3_76
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25416-6
Online ISBN: 978-3-319-25417-3
eBook Packages: Computer ScienceComputer Science (R0)