Classification of Facial Expressions Under Partial Occlusion for VR Games-Reference-Cited by-同舟云学术

Classification of Facial Expressions Under Partial Occlusion for VR Games

Published:2022 Issue: Volume: Page:804-819
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Rodrigues Ana Sofia Figueiredo,Lopes Júlio Castro^ORCID,Lopes Rui Pedro^ORCID,Teixeira Luís F.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23236-7_55

Reference35 articles.

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3. Baltrusaitis, T., Robinson, P., Morency, L.P.: OpenFace: an open source facial behavior analysis toolkit. In: 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, USA, pp. 1–10. IEEE, March 2016. https://doi.org/10.1109/WACV.2016.7477553. https://ieeexplore.ieee.org/document/7477553/

4. Barsoum, E., Zhang, C., Ferrer, C.C., Zhang, Z.: Training deep networks for facial expression recognition with crowd-sourced label distribution. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, Tokyo, Japan, pp. 279–283. ACM, October 2016. https://doi.org/10.1145/2993148.2993165. https://dl.acm.org/doi/10.1145/2993148.2993165

5. Bartlett, M., Littlewort, G., Lainscsek, C., Fasel, I., Movellan, J.: Machine learning methods for fully automatic recognition of facial expressions and facial actions. In: 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No. 04CH37583), The Hague, Netherlands, vol. 1, pp. 592–597. IEEE (2004). https://doi.org/10.1109/ICSMC.2004.1398364. https://ieeexplore.ieee.org/document/1398364/

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