PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Pascali M. A., Danielis A., Giorgi D., Colantonio S., Raccichini G., Henriquez P., Matuszewski B. J. SEMEOTICONS - Methods for bio-morphometric and colorimetric face characterisation - final release. SEMEiotic Oriented Technology for Individual's CardiOmetabolic risk self-assessmeNt and Self-monitoring. Deliverable D4.3.2, 2016.
 
 
Abstract
(English)
The present document is the final deliverable of Task 4.3 - Bio-morphometric and colorimetric face characterization. The objective of Task 4.3 is to develop a set of software tools to perform bio-morphometric facial measurements based on three-dimensional (3D) facial data acquired via a low-cost 3D scanner. The measurements are expected to detect and monitor over time facial changes correlated with cardio-metabolic risk. Colour information is expected to complement the characterization, providing extra information about facial pallor, redness, and asymmetric face colouring, possibly related to local skin anomalies, such as rash, inflammation, or redness.
Subject Face characterisation
3D
Shape analysis
I.2.10 ARTIFICIAL INTELLIGENCE. Vision and Scene Understanding
J.3 LIFE AND MEDICAL SCIENCES


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