The Cambridge Face Tracker: Accurate, Low Cost Measurement of Head Posture Using Computer Vision and Face Recognition Software

PURPOSE: We validate a video-based method of head posture measurement. METHODS: The Cambridge Face Tracker uses neural networks (constrained local neural fields) to recognize facial features in video. The relative position of these facial features is used to calculate head posture. First, we assess...

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Detalles Bibliográficos
Autores principales: Thomas, Peter B. M., Baltrušaitis, Tadas, Robinson, Peter, Vivian, Anthony J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2016
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054763/
https://www.ncbi.nlm.nih.gov/pubmed/27730008
http://dx.doi.org/10.1167/tvst.5.5.8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054763/
https://www.ncbi.nlm.nih.gov/pubmed/27730008
http://dx.doi.org/10.1167/tvst.5.5.8

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