Objective facial paralysis grading based onP face and eigenflow

Author:

Wang S.,Li H.,Qi F.,Zhao Y.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Reference10 articles.

1. Feris, R., Campos, T., andCesar, R. (2000): ‘Detection and tracking of facial features in video sequences’, in ‘Lecture notes in artificial intelligence, Vol. 1793’ (Springer-Verlag, 2000),4, pp. 127–135

2. Sich, U. (1981): ‘Surgery for Bell's palsy‘,Arch. Otolaryngol.,1, pp. 1–11

3. Frey, M., Jenny, A., andGiovaoli, P. (1994): ‘Development of a new documentation system for facial movements as a basis for the international registry for neuromuscular reconstruction in the face’,Plast. Reconstruct. Surg.,7, pp. 1334–1349

4. Gebhard, A., andPaulus, D. (2000): ‘A system for diagnosis support of patients with facial paralysis’, In KI, Bd. 2000,3, pp. 40–42

5. Helling, T. D., andNeely, J. G. (1997): ‘Validation of objective measures for facial paralysis’,Laryngoscope,10, pp. 1345–1349

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