PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Pascali M. A., Giorgi D., Bastiani L., Buzzigoli E., Henriquez P., Matuszewski B., Morales M., Colantonio S. Face morphology: can it tell us something about body weight and fat?. In: Computers in Biology and Medicine, vol. 76 pp. 238 - 249. Elsevier, 2016.
 
 
Abstract
(English)
This paper proposes a method for anautomatic extraction of geometric features, related to weight parameters, from 3D facial data acquired with low-cost depth scanners. The novelty of the method relies both on the processing of the 3D facial data and on the definition of the geometric features which are conceptually simple, robust against noise and pose estimation errors, computationally efficient, invariant with respect to rotation, translation, and scale changes. Experimental results show that these measurements are highly correlated with weight, BMI, and neck circumference, and well correlated with waist and hip circumference, which are markers of central obesity. Therefore the proposed method strongly supports the development of interactive, nonobtrusive systems able to provide a support for the detection of weight-related problems.
URL: http://www.sciencedirect.com/science/article/pii/S0010482516301445
DOI: 10.1016/j.compbiomed.2016.06.006
Subject Facial morphology
3D Scanning and reconstruction
Weight and fat-related parameters
BMI
Structural equation model
I.0 COMPUTING METHODOLOGIES. General
68U-Computing methodologies and applications


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