Effect of Face Blurring on Human Pose Estimation: Ensuring Subject Privacy for Medical and Occupational Health Applications

The face blurring of images plays a key role in protecting privacy. However, in computer vision, especially for the human pose estimation task, machine-learning models are currently trained, validated, and tested on original datasets without face blurring. Additionally, the accuracy of human pose es...

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Detalles Bibliográficos
Autores principales: Jiang, Jindong, Skalli, Wafa, Siadat, Ali, Gajny, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739378/
https://www.ncbi.nlm.nih.gov/pubmed/36502076
http://dx.doi.org/10.3390/s22239376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739378/
https://www.ncbi.nlm.nih.gov/pubmed/36502076
http://dx.doi.org/10.3390/s22239376

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