Literature DB >> 20369248

A new atlas for the evaluation of facial features: advantages, limits, and applicability.

Stefanie Ritz-Timme1, Peter Gabriel, Zuzana Obertovà, Melanie Boguslawski, F Mayer, A Drabik, Pasquale Poppa, Danilo De Angelis, Romina Ciaffi, Benedetta Zanotti, Daniele Gibelli, Cristina Cattaneo.   

Abstract

Methods for the verification of the identity of offenders in cases involving video-surveillance images in criminal investigation events are currently under scrutiny by several forensic experts around the globe. The anthroposcopic, or morphological, approach based on facial features is the most frequently used by international forensic experts. However, a specific set of applicable features has not yet been agreed on by the experts. Furthermore, population frequencies of such features have not been recorded, and only few validation tests have been published. To combat and prevent crime in Europe, the European Commission funded an extensive research project dedicated to the optimization of methods for facial identification of persons on photographs. Within this research project, standardized photographs of 900 males between 20 and 31 years of age from Germany, Italy, and Lithuania were acquired. Based on these photographs, 43 facial features were described and evaluated in detail. These efforts led to the development of a new model of a morphologic atlas, called DMV atlas ("Düsseldorf Milan Vilnius," from the participating cities). This study is the first attempt at verifying the feasibility of this atlas as a preliminary step to personal identification by exploring the intra- and interobserver error. The analysis yielded mismatch percentages from 19% to 39%, which reflect the subjectivity of the approach and suggest caution in verifying personal identity only from the classification of facial features. Nonetheless, the use of the atlas leads to a significant improvement of consistency in the evaluation.

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Year:  2010        PMID: 20369248     DOI: 10.1007/s00414-010-0446-4

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  13 in total

1.  Computer-assisted facial image identification system using a 3-D physiognomic range finder.

Authors:  M Yoshino; H Matsuda; S Kubota; K Imaizumi; S Miyasaka
Journal:  Forensic Sci Int       Date:  2000-04-10       Impact factor: 2.395

2.  The application of anthropometric indices in forensic photography: three case studies.

Authors:  R A Halberstein
Journal:  J Forensic Sci       Date:  2001-11       Impact factor: 1.832

3.  An anatomical and photographic technique for forensic facial identification.

Authors:  G Porter; G Doran
Journal:  Forensic Sci Int       Date:  2000-11-13       Impact factor: 2.395

4.  Person identification by gait analysis and photogrammetry.

Authors:  Niels Lynnerup; Jens Vedel
Journal:  J Forensic Sci       Date:  2005-01       Impact factor: 1.832

5.  2D/3D image (facial) comparison using camera matching.

Authors:  Mirelle I M Goos; Ivo B Alberink; Arnout C C Ruifrok
Journal:  Forensic Sci Int       Date:  2005-12-06       Impact factor: 2.395

6.  New method for height estimation of subjects represented in photograms taken from video surveillance systems.

Authors:  Danilo De Angelis; Remo Sala; Angela Cantatore; Pasquale Poppa; Michele Dufour; Marco Grandi; Cristina Cattaneo
Journal:  Int J Legal Med       Date:  2007-06-01       Impact factor: 2.686

7.  Photo identification: facial metrical and morphological features in South African males.

Authors:  M M Roelofse; M Steyn; P J Becker
Journal:  Forensic Sci Int       Date:  2008-02-19       Impact factor: 2.395

8.  A new computer-assisted technique to aid personal identification.

Authors:  Danilo De Angelis; Remo Sala; Angela Cantatore; Marco Grandi; Cristina Cattaneo
Journal:  Int J Legal Med       Date:  2008-12-12       Impact factor: 2.686

9.  Gait analysis in forensic medicine*.

Authors:  Peter K Larsen; Erik B Simonsen; Niels Lynnerup
Journal:  J Forensic Sci       Date:  2008-07-11       Impact factor: 1.832

10.  Morphological classification of facial features in adult Caucasian males based on an assessment of photographs of 50 subjects.

Authors:  P Vanezis; D Lu; J Cockburn; A Gonzalez; G McCombe; O Trujillo; M Vanezis
Journal:  J Forensic Sci       Date:  1996-09       Impact factor: 1.832

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  6 in total

1.  Three-dimensional analyses of aging-induced alterations in facial shape: a longitudinal study of 171 Japanese males.

Authors:  Kazuhiko Imaizumi; Kei Taniguchi; Yoshinori Ogawa; Kazutoshi Matsuzaki; Takeshi Nagata; Masaaki Mochimaru; Makiko Kouchi
Journal:  Int J Legal Med       Date:  2014-11-09       Impact factor: 2.686

2.  Validation of forensic facial comparison by morphological analysis in photographic and CCTV samples.

Authors:  Nicholas Bacci; Tobias M R Houlton; Nanette Briers; Maryna Steyn
Journal:  Int J Legal Med       Date:  2021-02-16       Impact factor: 2.686

Review 3.  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

4.  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

5.  A data-driven classification of 3D foot types by archetypal shapes based on landmarks.

Authors:  Aleix Alcacer; Irene Epifanio; M Victoria Ibáñez; Amelia Simó; Alfredo Ballester
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

6.  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

  6 in total

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