A Digital Human System with Realistic Facial Expressions for Friendly Human-Machine Interaction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4755-3_68
Reference34 articles.
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3. Wettum, Y.C.: Facial landmark tracking on a mobile device, Bachelor’s thesis, University of Twente (2017)
4. Liu, X., Wang, J., Zhang, W., Zheng, Q., Li, X.: EmotionTracker: a mobile real-time facial expression tracking system with the assistant of public AI-as-a-service. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 4530–4532 (2020)
5. Richard, A., Lea, C., Ma, S., Gall, J., De la Torre, F., Sheikh, Y.: Audio- and gaze-driven facial animation of codec avatars. In: Proceedings of IEEE Winter Conference on Applications of Computer Vision, pp. 41–50 (2021)
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