Expression dynamic capture and 3D animation generation method based on deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07644-0.pdf
Reference22 articles.
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2. Hussein HI, Dino HI, Mstafa RJ et al (2022) Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm. Multimed Tools Appl 81(8):11563–11586
3. Uono S, Sato W, Kochiyama T et al (2022) The structural neural correlates of atypical facial expression recognition in autism spectrum disorder. Brain Imaging Behav 16(3):1428–1440
4. Porter-Vignola E, Booij L, Bossé-Chartier G et al (2021) Emotional facial expression recognition and depression in adolescent girls: associations with clinical features. Psychiat Res 298(8):113777–113795
5. Noyes E, Davis JP, Petrov N et al (2021) The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers. R Soc Open Sci 8(3):35–46
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Dynamic Capturing of Facial Expression and 3D Animation Generation based on Generative Adversarial Network;2024 International Conference on Integrated Circuits and Communication Systems (ICICACS);2024-02-23
2. Learner Emotional Value Recognition Technology: An Artificial Neural Network Optimized by the Grey Wolf Algorithm;IEEE Access;2023
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