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A facial reconstruction method based on new mesh deformation techniques
This article presents a new numerical method for facial reconstruction. The problem is the following: given a dry skull, reconstruct a virtual face that would help in the identification of the subject. The approach combines classical features as the use of a skulls/faces database and more original a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201798/ https://www.ncbi.nlm.nih.gov/pubmed/30483675 http://dx.doi.org/10.1080/20961790.2018.1469185 |
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author | de Buhan, Maya Nardoni, Chiara |
author_facet | de Buhan, Maya Nardoni, Chiara |
author_sort | de Buhan, Maya |
collection | PubMed |
description | This article presents a new numerical method for facial reconstruction. The problem is the following: given a dry skull, reconstruct a virtual face that would help in the identification of the subject. The approach combines classical features as the use of a skulls/faces database and more original aspects: (1) an original shape matching method is used to link the unknown skull to the database templates; (2) the final face is seen as an elastic 3D mask that is deformed and adapted onto the unknown skull. In this method, the skull is considered as a whole surface and not restricted to some anatomical landmarks, allowing a dense description of the skull/face relationship. Also, the approach is fully automated. Various results are presented to show its efficiency. |
format | Online Article Text |
id | pubmed-6201798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-62017982018-11-27 A facial reconstruction method based on new mesh deformation techniques de Buhan, Maya Nardoni, Chiara Forensic Sci Res Original Article This article presents a new numerical method for facial reconstruction. The problem is the following: given a dry skull, reconstruct a virtual face that would help in the identification of the subject. The approach combines classical features as the use of a skulls/faces database and more original aspects: (1) an original shape matching method is used to link the unknown skull to the database templates; (2) the final face is seen as an elastic 3D mask that is deformed and adapted onto the unknown skull. In this method, the skull is considered as a whole surface and not restricted to some anatomical landmarks, allowing a dense description of the skull/face relationship. Also, the approach is fully automated. Various results are presented to show its efficiency. Taylor & Francis 2018-06-05 /pmc/articles/PMC6201798/ /pubmed/30483675 http://dx.doi.org/10.1080/20961790.2018.1469185 Text en © 2018 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article de Buhan, Maya Nardoni, Chiara A facial reconstruction method based on new mesh deformation techniques |
title | A facial reconstruction method based on new mesh deformation techniques |
title_full | A facial reconstruction method based on new mesh deformation techniques |
title_fullStr | A facial reconstruction method based on new mesh deformation techniques |
title_full_unstemmed | A facial reconstruction method based on new mesh deformation techniques |
title_short | A facial reconstruction method based on new mesh deformation techniques |
title_sort | facial reconstruction method based on new mesh deformation techniques |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201798/ https://www.ncbi.nlm.nih.gov/pubmed/30483675 http://dx.doi.org/10.1080/20961790.2018.1469185 |
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