Face morphology: Can it tell us something about body weight and fat?

被引:18
|
作者
Pascali, M. A. [1 ]
Giorgi, D. [1 ]
Bastiani, L. [2 ]
Buzzigoli, E. [2 ]
Henriquez, P. [3 ]
Matuszewski, B. J. [3 ]
Morales, M. -A. [2 ]
Colantonio, S. [1 ]
机构
[1] CNR, Inst Informat Sci & Technol, Pisa, Italy
[2] CNR, Inst Clin Physiol, Pisa, Italy
[3] Univ Cent Lancashire, Sch Engn, Coll Sci & Technol, Comp Vis & Machine Learning Res Grp, Preston, Lancs, England
关键词
Facial morphology; 3D scanning and reconstruction; Weight and fat-related parameters; BMI; Structural equation model; METABOLIC SYNDROME; NECK CIRCUMFERENCE; MASS INDEX; ADIPOSITY; OBESITY; INSULIN;
D O I
10.1016/j.compbiomed.2016.06.006
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper proposes a method for an automatic 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, non obtrusive systems able to provide a support for the detection of weight-related problems. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:238 / 249
页数:12
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