Literature DB >> 21388762

Metric and morphological assessment of facial features: a study on three European populations.

S Ritz-Timme1, P Gabriel, J Tutkuviene, P Poppa, Z Obertová, D Gibelli, D De Angelis, M Ratnayake, R Rizgeliene, A Barkus, C Cattaneo.   

Abstract

Identification from video surveillance systems is becoming more and more frequent in the forensic practice. In this field, different techniques have been improved such as height estimation and gait analysis. However, the most natural approach for identifying a person in everyday life is based on facial characteristics. Scientifically, faces can be described using morphological and metric assessment of facial features. The morphological approach is largely affected by the subjective opinion of the observer, which can be mitigated by the application of descriptive atlases. In addition, this approach requires one to investigate which are the most common and rare facial characteristics in different populations. For the metric approach further studies are necessary in order to point out possible metric differences within and between different populations. The acquisition of statistically adequate population data may provide useful information for the reconstruction of biological profiles of unidentified individuals, particularly concerning ethnic affiliation, and possibly also for personal identification. This study presents the results of the morphological and metric assessment of the head and face of 900 male subjects between 20 and 31 years from Italy, Germany and Lithuania. The evaluation of the morphological traits was performed using the DMV atlas with 43 pre-defined facial characteristics. The frequencies of the types of facial features were calculated for each population in order to establish the rarest characteristics which may be used for the purpose of a biological profile and consequently for personal identification. Metric analysis performed in vivo included 24 absolute measurements and 24 indices of the head and face, including body height and body weight. The comparison of the frequencies of morphological facial features showed many similarities between the samples from Germany, Italy and Lithuania. However, several characteristics were rare or significantly more or less common in one population compared to the other two. On the other hand, all measurements and indices, except for labial width and intercanthal-mouth index showed significant differences between the three populations. As far as comparisons with other samples are concerned, the three European Caucasian samples differed from North American Caucasian, African and Asian groups as concerns the frequency of the morphological traits and the mean values of the metric analysis. The metric and morphological data collected from three European populations may be useful for forensic purposes in the construction of biological profiles and in screening for personal identification.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21388762     DOI: 10.1016/j.forsciint.2011.01.035

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  7 in total

1.  Expanding the Classic Facial Canons: Quantifying Intercanthal Distance in a Diverse Patient Population.

Authors:  Gabriel Bouhadana; Jordan Gornitsky; Eli Saleh; Nadia Oliveira Trabelsi; Daniel E Borsuk
Journal:  Plast Reconstr Surg Glob Open       Date:  2022-04-22

Review 2.  An overview of the latest developments in facial imaging.

Authors:  Carl N Stephan; Jodi M Caple; Pierre Guyomarc'h; Peter Claes
Journal:  Forensic Sci Res       Date:  2018-10-29

3.  Automatic classification of human facial features based on their appearance.

Authors:  Felix Fuentes-Hurtado; Jose A Diego-Mas; Valery Naranjo; Mariano Alcañiz
Journal:  PLoS One       Date:  2019-01-29       Impact factor: 3.240

4.  A GWAS in Latin Americans identifies novel face shape loci, implicating VPS13B and a Denisovan introgressed region in facial variation.

Authors:  Betty Bonfante; Pierre Faux; Nicolas Navarro; Javier Mendoza-Revilla; Morgane Dubied; Charlotte Montillot; Emma Wentworth; Lauriane Poloni; Ceferino Varón-González; Philip Jones; Ziyi Xiong; Macarena Fuentes-Guajardo; Sagnik Palmal; Juan Camilo Chacón-Duque; Malena Hurtado; Valeria Villegas; Vanessa Granja; Claudia Jaramillo; William Arias; Rodrigo Barquera; Paola Everardo-Martínez; Mirsha Sánchez-Quinto; Jorge Gómez-Valdés; Hugo Villamil-Ramírez; Caio C Silva de Cerqueira; Tábita Hünemeier; Virginia Ramallo; Fan Liu; Seth M Weinberg; John R Shaffer; Evie Stergiakouli; Laurence J Howe; Pirro G Hysi; Timothy D Spector; Rolando Gonzalez-José; Lavinia Schüler-Faccini; Maria-Cátira Bortolini; Victor Acuña-Alonzo; Samuel Canizales-Quinteros; Carla Gallo; Giovanni Poletti; Gabriel Bedoya; Francisco Rothhammer; Christel Thauvin-Robinet; Laurence Faivre; Caroline Costedoat; David Balding; Timothy Cox; Manfred Kayser; Laurence Duplomb; Binnaz Yalcin; Justin Cotney; Kaustubh Adhikari; Andrés Ruiz-Linares
Journal:  Sci Adv       Date:  2021-02-05       Impact factor: 14.136

5.  3D-3D facial registration method applied to personal identification: Does it work with limited portions of faces? An experiment in ideal conditions.

Authors:  Daniele Gibelli; Andrea Palamenghi; Pasquale Poppa; Chiarella Sforza; Cristina Cattaneo; Danilo De Angelis
Journal:  J Forensic Sci       Date:  2022-02-28       Impact factor: 1.717

6.  Skin injury model classification based on shape vector analysis.

Authors:  Emil Röhrich; Michael Thali; Wolf Schweitzer
Journal:  BMC Med Imaging       Date:  2012-11-06       Impact factor: 1.930

7.  A genome-wide association scan implicates DCHS2, RUNX2, GLI3, PAX1 and EDAR in human facial variation.

Authors:  Kaustubh Adhikari; Macarena Fuentes-Guajardo; Mirsha Quinto-Sánchez; Javier Mendoza-Revilla; Juan Camilo Chacón-Duque; Victor Acuña-Alonzo; Claudia Jaramillo; William Arias; Rodrigo Barquera Lozano; Gastón Macín Pérez; Jorge Gómez-Valdés; Hugo Villamil-Ramírez; Tábita Hunemeier; Virginia Ramallo; Caio C Silva de Cerqueira; Malena Hurtado; Valeria Villegas; Vanessa Granja; Carla Gallo; Giovanni Poletti; Lavinia Schuler-Faccini; Francisco M Salzano; Maria-Cátira Bortolini; Samuel Canizales-Quinteros; Michael Cheeseman; Javier Rosique; Gabriel Bedoya; Francisco Rothhammer; Denis Headon; Rolando González-José; David Balding; Andrés Ruiz-Linares
Journal:  Nat Commun       Date:  2016-05-19       Impact factor: 14.919

  7 in total

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