AFLFP: A Database With Annotated Facial Landmarks for Facial Palsy

Author:

Xia Yifan1ORCID,Nduka Charles2,Kannan Ruben Yap2,Pescarini Elena3,Berner Juan Enrique4ORCID,Yu Hui1ORCID

Affiliation:

1. School of Creative Technologies, University of Portsmouth, Portsmouth, U.K.

2. Queen Victoria Hospital, East Grinstead, U.K.

3. San Bortolo Hospital, Vicenza, Italy

4. Plastic Surgery Department, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Tyne, U.K.

Funder

Engineering and Physical Sciences Research Council (EPSRC) through Project 4D Facial Sensing and Modelling

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Cited by 9 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. Optimization of the automated Sunnybrook Facial Grading System – Improving the reliability of a deep learning network with facial landmarks;European Annals of Otorhinolaryngology, Head and Neck Diseases;2024-08

2. In-Domain Inversion for Improved 3D Face Alignment on Asymmetrical Expressions;2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG);2024-05-27

3. Disease Diagnosis From Facial Alternations Using Ensemble CNNs;2024 International Research Conference on Smart Computing and Systems Engineering (SCSE);2024-04-04

4. Automate facial paralysis detection using vgg architectures;International Journal of Current Innovations in Advanced Research;2024-02-09

5. Ship Landmark: An Informative Ship Image Annotation and Its Applications;IEEE Transactions on Intelligent Transportation Systems;2024

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