Feature Acquisition and Analysis for Facial Expression Recognition Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Feature Acquisition and Analysis for Facial Expression Recognition Using Convolutional Neural Networks

Published:2017 Issue:5 Volume:32 Page:F-H34_1-8
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Nishime Taiki¹,Endo Satoshi²,Toma Naruaki²,Yamada Koji²,Akamine Yuhei²

Affiliation:

1. Graduate School of Information Engineering, University of The Ryukyus

2. School of Information Engineering, University of The Ryukyus

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/32/5/32_F-H34/_pdf

Reference18 articles.

1. [Bartlett 06] Bartlett, M. S., Littlewort, G., Frank, M., Lainscsek, C., Fasel, I., and Movellan, J. Fully automatic facial action recognition in spontaneous behavior. IEEE 7th International Conference on Automatic Face and Gesture Recognition (2006)

2. [Beaupré 05] Beaupré, M. G., and Hess, U Cross-cultural emotion recognition among Canadian ethnic groups. Journal of Cross-Cultural Psychology Vol.36, No.3 pp.355-370 (2005)

3. [Bojarski 16] Bojarski, M., Del Testa, D., et al. End to end learning for self-driving cars. arXiv:1604.07316 (2016)

4. [Dhall 11] Dhall, A., Goecke, R., Lucey, S., and Gedeon, T. Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark. IEEE International Conference on Computer Vision Workshops (ICCV Workshops) (2011)

5. [Gatys 15] Gatys, L. A., Ecker, A. S., and Bethge, M. A neural algorithm of artistic style. arXiv:1508.06576 (2015)

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