Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches

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Abstract

This paper gives an overview of the cutting-edge approaches that perform facial cue analysis in the healthcare area. The document is not limited to global face analysis but it also concentrates on methods related to local cues (e.g., the eyes). A research taxonomy is introduced by dividing the face in its main features: eyes, mouth, muscles, skin, and shape. For each facial feature, the computer vision-based tasks aiming at analyzing it and the related healthcare goals that could be pursued are detailed.

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Author and article information

Contributors

Marco Leo: (View ORCID Profile)

Pier Luigi Mazzeo: (View ORCID Profile)

Dario Cazzato: (View ORCID Profile)

Journal

Journal ID (publisher-id): INFOGG

Title: Information

Abbreviated Title: Information

Publisher: MDPI AG

ISSN (Electronic): 2078-2489

Publication date Created: March 2020

Publication date (Electronic): February 26 2020

Volume: 11

Issue: 3

Page: 128

Article

DOI: 10.3390/info11030128

SO-VID: 768c7848-cf7c-48e8-9902-c9a224df00d0

License:

https://creativecommons.org/licenses/by/4.0/

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