Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?

Detalhes bibliográficos
Autor(a) principal: Herrera, Lara Maria [UNESP]
Data de Publicação: 2016
Outros Autores: Paim Strapasson, Raissa Ananda, Lopes da Silva, Jorge Vicente, Haltenhoff Melani, Rodolfo Francisco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.forsciint.2016.06.015
http://hdl.handle.net/11449/162092
Resumo: Facial soft tissue thicknesses (FSTT) are important guidelines for modeling faces from skull. Amid so many FSTT data, Forensic artists have to make a subjective choice of a dataset that best meets their needs. This study investigated the performance of four FSTT datasets in the recognition and resemblance of Brazilian living individuals and the performance of assessors in recognizing people, according to sex and knowledge on Human Anatomy and Forensic Dentistry. Sixteen manual facial approximations (FAs) were constructed using three-dimensional (3D) prototypes of skulls (targets). The American method was chosen for the construction of the faces. One hundred and twenty participants evaluated all FAs by means of recognition and resemblance tests. This study showed higher proportions of recognition by FAs conducted with FSTT data from cadavers compared with those conducted with medical imaging data. Targets were also considered more similar to FAs conducted with FSTT data from cadavers. Nose and face shape, respectively, were considered the most similar regions to targets. The sex of assessors (male and female) and the knowledge on Human Anatomy and Forensic Dentistry did not play a determinant role to reach greater recognition rates. It was possible to conclude that FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. Grouping FSTT data by regions of the face, as proposed in this paper, may contribute to more accurate FAs. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
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spelling Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?Forensic scienceForensic dentistryFacial approximationFacial reconstructionFacial tissue depthsFace recognitionFacial soft tissue thicknesses (FSTT) are important guidelines for modeling faces from skull. Amid so many FSTT data, Forensic artists have to make a subjective choice of a dataset that best meets their needs. This study investigated the performance of four FSTT datasets in the recognition and resemblance of Brazilian living individuals and the performance of assessors in recognizing people, according to sex and knowledge on Human Anatomy and Forensic Dentistry. Sixteen manual facial approximations (FAs) were constructed using three-dimensional (3D) prototypes of skulls (targets). The American method was chosen for the construction of the faces. One hundred and twenty participants evaluated all FAs by means of recognition and resemblance tests. This study showed higher proportions of recognition by FAs conducted with FSTT data from cadavers compared with those conducted with medical imaging data. Targets were also considered more similar to FAs conducted with FSTT data from cadavers. Nose and face shape, respectively, were considered the most similar regions to targets. The sex of assessors (male and female) and the knowledge on Human Anatomy and Forensic Dentistry did not play a determinant role to reach greater recognition rates. It was possible to conclude that FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. Grouping FSTT data by regions of the face, as proposed in this paper, may contribute to more accurate FAs. (C) 2016 Elsevier Ireland Ltd. All rights reserved.Univ Sao Paulo, Sch Dent, Dept Community Dent, Ave Prof Lineu Prestes 2227, BR-05508000 Sao Paulo, SP, BrazilRenato Archer Informat Technol Ctr, Dimens Technol Div 3, Rodovia Dom Pedro 1,Km 143-6, BR-13069901 Campinas, SP, BrazilSao Paulo State Univ, Araraquara Sch Dent, Dept Community Dent, Rua Humaita 1680, BR-14801903 Araraquara, SP, BrazilSao Paulo State Univ, Araraquara Sch Dent, Dept Community Dent, Rua Humaita 1680, BR-14801903 Araraquara, SP, BrazilElsevier B.V.Universidade de São Paulo (USP)Renato Archer Informat Technol CtrUniversidade Estadual Paulista (Unesp)Herrera, Lara Maria [UNESP]Paim Strapasson, Raissa AnandaLopes da Silva, Jorge VicenteHaltenhoff Melani, Rodolfo Francisco2018-11-26T17:07:15Z2018-11-26T17:07:15Z2016-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article311-319application/pdfhttp://dx.doi.org/10.1016/j.forsciint.2016.06.015Forensic Science International. Clare: Elsevier Ireland Ltd, v. 266, p. 311-319, 2016.0379-0738http://hdl.handle.net/11449/16209210.1016/j.forsciint.2016.06.015WOS:000386334600065WOS000386334600065.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengForensic Science International0,981info:eu-repo/semantics/openAccess2023-11-03T06:10:30Zoai:repositorio.unesp.br:11449/162092Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-03T06:10:30Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
title Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
spellingShingle Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
Herrera, Lara Maria [UNESP]
Forensic science
Forensic dentistry
Facial approximation
Facial reconstruction
Facial tissue depths
Face recognition
title_short Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
title_full Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
title_fullStr Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
title_full_unstemmed Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
title_sort Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
author Herrera, Lara Maria [UNESP]
author_facet Herrera, Lara Maria [UNESP]
Paim Strapasson, Raissa Ananda
Lopes da Silva, Jorge Vicente
Haltenhoff Melani, Rodolfo Francisco
author_role author
author2 Paim Strapasson, Raissa Ananda
Lopes da Silva, Jorge Vicente
Haltenhoff Melani, Rodolfo Francisco
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Renato Archer Informat Technol Ctr
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Herrera, Lara Maria [UNESP]
Paim Strapasson, Raissa Ananda
Lopes da Silva, Jorge Vicente
Haltenhoff Melani, Rodolfo Francisco
dc.subject.por.fl_str_mv Forensic science
Forensic dentistry
Facial approximation
Facial reconstruction
Facial tissue depths
Face recognition
topic Forensic science
Forensic dentistry
Facial approximation
Facial reconstruction
Facial tissue depths
Face recognition
description Facial soft tissue thicknesses (FSTT) are important guidelines for modeling faces from skull. Amid so many FSTT data, Forensic artists have to make a subjective choice of a dataset that best meets their needs. This study investigated the performance of four FSTT datasets in the recognition and resemblance of Brazilian living individuals and the performance of assessors in recognizing people, according to sex and knowledge on Human Anatomy and Forensic Dentistry. Sixteen manual facial approximations (FAs) were constructed using three-dimensional (3D) prototypes of skulls (targets). The American method was chosen for the construction of the faces. One hundred and twenty participants evaluated all FAs by means of recognition and resemblance tests. This study showed higher proportions of recognition by FAs conducted with FSTT data from cadavers compared with those conducted with medical imaging data. Targets were also considered more similar to FAs conducted with FSTT data from cadavers. Nose and face shape, respectively, were considered the most similar regions to targets. The sex of assessors (male and female) and the knowledge on Human Anatomy and Forensic Dentistry did not play a determinant role to reach greater recognition rates. It was possible to conclude that FSTT data obtained from imaging may not facilitate recognition and establish acceptable level of resemblance. Grouping FSTT data by regions of the face, as proposed in this paper, may contribute to more accurate FAs. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01
2018-11-26T17:07:15Z
2018-11-26T17:07:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.forsciint.2016.06.015
Forensic Science International. Clare: Elsevier Ireland Ltd, v. 266, p. 311-319, 2016.
0379-0738
http://hdl.handle.net/11449/162092
10.1016/j.forsciint.2016.06.015
WOS:000386334600065
WOS000386334600065.pdf
url http://dx.doi.org/10.1016/j.forsciint.2016.06.015
http://hdl.handle.net/11449/162092
identifier_str_mv Forensic Science International. Clare: Elsevier Ireland Ltd, v. 266, p. 311-319, 2016.
0379-0738
10.1016/j.forsciint.2016.06.015
WOS:000386334600065
WOS000386334600065.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Forensic Science International
0,981
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 311-319
application/pdf
dc.publisher.none.fl_str_mv Elsevier B.V.
publisher.none.fl_str_mv Elsevier B.V.
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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