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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Age-related craniofacial differences based on spatio-temporal face image atlases

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Author(s):
Xavier, Igor R. R. [1] ; Giraldi, Gilson A. [2] ; Gibson, Stuart James [3] ; Gattas, Gilka J. F. [4] ; Rueckert, Daniel [5] ; Thomaz, Carlos E. [1]
Total Authors: 6
Affiliation:
[1] Univ Ctr FEI, Dept Elect Engn, Sao Paulo - Brazil
[2] Natl Lab Sci Comp, Dept Comp Sci, Rio De Janeiro - Brazil
[3] Univ Kent, Sch Phys Sci, Canterbury, Kent - England
[4] Univ Sao Paulo, Dept Forens Med, Sao Paulo - Brazil
[5] Imperial Coll London, Dept Comp, London - England
Total Affiliations: 5
Document type: Journal article
Source: IET IMAGE PROCESSING; v. 13, n. 9, p. 1561-1568, JUL 18 2019.
Web of Science Citations: 0
Abstract

A number of studies have been developed recently in order to explore associations between craniofacial differences and genetics. Most of these works have been based on spatial face image models, adjusted for the counter effects of age. This approach provides a limited understanding of normal and abnormal craniofacial development owing to the lack of age progression information. Here, the authors propose and implement an imaging framework that combines facial landmark positioning, non-rigid registration, novel age-dependent face modelling and common distance metrics to disclose the most facial differences that vary across the time due to the subjects' age. All the experiments carried out and corresponding results presented here are based on a database comprising ordinary two-dimensional (2D) frontal face images of Down Syndrome (DS) and control sample groups. A number of craniofacial metrics have been successfully identified that highlight statistically significant and clinically relevant differences between the controls and the faces associated with DS within the age range from 1 to 18 years old, producing realistic unbiased face models with similar level of detail at all age-intervals, despite the small sample size available. (AU)

FAPESP's process: 12/22377-6 - Statistical significance and cognitive relevance: extraction and interpretation of discriminant visual features in face images
Grantee:Carlos Eduardo Thomaz
Support Opportunities: Regular Research Grants