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

Academic Article
Publication Date:
2020
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.
Iris type:
01.01 Articolo in rivista
Keywords:
computer vision; face analysis; eye gaze tracking; facial expressions; healthcare
List of contributors:
Distante, Cosimo; Leo, Marco; Carcagni', Pierluigi; Mazzeo, PIER LUIGI; Spagnolo, Paolo
Authors of the University:
CARCAGNI' PIERLUIGI
DISTANTE COSIMO
LEO MARCO
MAZZEO PIER LUIGI
SPAGNOLO PAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/410775
Published in:
INFORMATION
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