Top

Published in:

2017 | OriginalPaper | Chapter

Using Deep Relational Features to Verify Kinship

Authors : Jingyun Liang, Jinlin Guo, Songyang Lao, Jue Li

Published in: Computer Vision

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Kinship verification from facial images is a very challenging research topic. Differing from most of previous methods focusing on calculating a similarity metric, in this work, we utilize convolutional neural network and autoencoder to learn deep relational features for verifying kinship from facial images. Specifically, we firstly train a convolutional neural network to extract representative facial features, which derive from the last fully-connected layer in network. Then, facial features from two person are set as two ends of an autoencoder respectively, and relational features are extracted from the middle layer of the trained autoencoder. Finally, SVM classifiers are adopted to verify kinship (e.g., Father-Son). Experimental results on two public datasets show the effectiveness of the approach proposed in this work.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter A Method of General Acceleration SRDCF Calculation via Reintroduction of Circulant Structure

next chapter Hyperspectral Image Classification Using Spectral-Spatial LSTMs

Ashalatha, M.E., Holi, M.S., Mirajkar, P.R.: Face recognition using local features by LPP approach. In: Proceedings of International Circuits, Communication, Control and Computing (I4C) Conference, pp. 382–386, November 2014

Eckert, M., Gil, A., Zapatero, D., Meneses, J., Ortega, J.F.M.: Fast facial expression recognition for emotion awareness disposal. In: 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) (2016)

Fang, R., Tang, K.D., Snavely, N., Chen, T.: Towards computational models of kinship verification. In: Proceedings of IEEE International Conference on Image Processing, pp. 1577–1580, September 2010

Guo, G., Wang, X.: Kinship measurement on salient facial features. IEEE Trans. Instrum. Meas. 61(8), 2322–2325 (2012)CrossRef

Hackman, L., Black, S.M.: Age estimation in the living. In: Encyclopedia of Forensic & Legal Medicine, pp. 34–40 (2016)

Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)MathSciNetCrossRefMATH

Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems, vol. 25, no. 2 (2012)

Lu, J., Zhou, X., Tan, Y.P., Shang, Y., Zhou, J.: Neighborhood repulsed metric learning for kinship verification. IEEE Trans. Pattern Anal. Mach. Intell. 36(2), 331–345 (2014)CrossRef

Lu, J., Hu, J., Zhou, X., Shang, Y., Tan, Y.P., Wang, G.: Neighborhood repulsed metric learning for kinship verification. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2594–2601 (2012)

10.

Lu, J., Hu, J., Zhou, X., Zhou, J., Castrillon-Santana, M., Lorenzo-Navarro, J., Kou, L., Shang, Y., Bottino, A., Vieira, T.F.: Kinship verification in the wild: the first kinship verification competition. In: IJCB 2014–2014 IEEE/IAPR International Joint Conference on Biometrics (2014)

11.

Ranzato, M., Huang, F.J., Boureau, Y., Lecun, Y.: Unsupervised learning of invariant feature hierarchies with applications to object recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–8 (2007)

12.

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M.: Imagenet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211–252 (2015)MathSciNetCrossRef

13.

Sun, Y., Wang, X., Tang, X.: Deep learning face representation from predicting 10,000 classes, pp. 1891–1898 (2014)

14.

Wolf, L., Hassner, T., Maoz, I.: Face recognition in unconstrained videos with matched background similarity. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 529–534, June 2011

15.

Xia, S., Shao, M., Fu, Y.: Kinship verification through transfer learning. In: IJCAI International Joint Conference on Artificial Intelligence, pp. 2539–2544 (2011)

16.

Xia, S., Shao, M., Luo, J., Fu, Y.: Understanding kin relationships in a photo. IEEE Trans. Multimedia 14(4 PART1), 1046–1056 (2012). https://doi.org/10.1109/TMM.2012.2187436 CrossRef

17.

Yan, H.: Kinship verification using neighborhood repulsed correlation metric learning. Image Vis. Comput. (2016). https://doi.org/10.1016/j.imavis.2016.08.009

18.

Yan, H., Lu, J., Deng, W., Zhou, X.: Discriminative multimetric learning for kinship verification. IEEE Trans. Inf. Forensics Secur. 9(7), 1169–1178 (2014)CrossRef

19.

Zhang, K., Huang, Y., Song, C., Wu, H., Wang, L.: Kinship verification with deep convolutional neural networks. BMVC 2015, 1–12 (2015)

20.

Zhou, X., Hu, J., Lu, J., Shang, Y., Guan, Y.: Kinship verification from facial images under uncontrolled conditions. In: International Conference on Multimedia 2011, Scottsdale, AZ, USA, 28 November - 01 December, pp. 953–956 (2011)

21.

Zhou, X., Shang, Y., Yan, H., Guo, G.: Ensemble similarity learning for kinship verification from facial images in the wild. Inf. Fusion 32, 40–48 (2016). https://doi.org/10.1016/j.inffus.2015.08.006 CrossRef

22.

Zhou, X., Yan, H., Shang, Y.: Kinship verification from facial images by scalable similarity fusion. Neurocomputing 197, 136–142 (2016). https://doi.org/10.1016/j.neucom.2016.02.039 CrossRef

Title: Using Deep Relational Features to Verify Kinship
Authors: Jingyun Liang
Jinlin Guo
Songyang Lao
Jue Li
Publisher: Springer Singapore
Book: Computer Vision
Print ISBN: 978-981-10-7298-7

Electronic ISBN: 978-981-10-7299-4

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-981-10-7299-4_47

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner