Forensic facial approximation assessment: can application of different average facial tissue depth data facilitate recognition and establish acceptable level of resemblance?
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
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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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:29462024-08-05T16:48:35.349471Repositório 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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1808128705287946240 |