Literature DB >> 26482539

Study on the performance of different craniofacial superimposition approaches (II): Best practices proposal.

S Damas1, C Wilkinson2, T Kahana3, E Veselovskaya4, A Abramov5, R Jankauskas6, P T Jayaprakash7, E Ruiz8, F Navarro9, M I Huete9, E Cunha10, F Cavalli11, J Clement12, P Lestón13, F Molinero13, T Briers14, F Viegas15, K Imaizumi16, D Humpire17, O Ibáñez18.   

Abstract

Craniofacial superimposition, although existing for one century, is still a controversial technique within the scientific community. Objective and unbiased validation studies over a significant number of cases are required to establish a more solid picture on the reliability. However, there is lack of protocols and standards in the application of the technique leading to contradictory information concerning reliability. Instead of following a uniform methodology, every expert tends to apply his own approach to the problem, based on the available technology and deep knowledge on human craniofacial anatomy, soft tissues, and their relationships. The aim of this study was to assess the reliability of different craniofacial superimposition methodologies and the corresponding technical approaches to this type of identification. With all the data generated, some of the most representative experts in craniofacial identification joined in a discussion intended to identify and agree on the most important issues that have to be considered to properly employ the craniofacial superimposition technique. As a consequence, the consortium has produced the current manuscript, which can be considered the first standard in the field; including good and bad practices, sources of error and uncertainties, technological requirements and desirable features, and finally a common scale for the craniofacial matching evaluation. Such a document is intended to be part of a more complete framework for craniofacial superimposition, to be developed during the FP7-founded project MEPROCS, which will favour and standardize its proper application.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Craniofacial identification; Craniofacial superimposition; Forensic Anthropology Population Data; Forensic anthropology; MEPROCS

Mesh:

Year:  2015        PMID: 26482539     DOI: 10.1016/j.forsciint.2015.07.045

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


  3 in total

1.  Adult Skeletal Age-at-Death Estimation through Deep Random Neural Networks: A New Method and Its Computational Analysis.

Authors:  David Navega; Ernesto Costa; Eugénia Cunha
Journal:  Biology (Basel)       Date:  2022-03-30

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

Review 3.  Craniofacial photographic superimposition: New developments.

Authors:  Douglas H Ubelaker; Yaohan Wu; Quinnlan R Cordero
Journal:  Forensic Sci Int       Date:  2019-10-04       Impact factor: 2.395

  3 in total

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