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Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification

Eyebrows are the most important facial feature in facial recognition with its shape rated to be more helpful than color or density for facial reconstruction or approximation. However, little extant research has estimated the position and morphological territory of the eyebrow from the orbit. Three-d...

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Autores principales: Kim, Yi-Suk, Lee, Won-Joon, Yun, Ji-Su, Kim, Dong-Ho, Lozanoff, Scott, Lee, U-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006220/
https://www.ncbi.nlm.nih.gov/pubmed/36899072
http://dx.doi.org/10.1038/s41598-023-30758-x
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author Kim, Yi-Suk
Lee, Won-Joon
Yun, Ji-Su
Kim, Dong-Ho
Lozanoff, Scott
Lee, U-Young
author_facet Kim, Yi-Suk
Lee, Won-Joon
Yun, Ji-Su
Kim, Dong-Ho
Lozanoff, Scott
Lee, U-Young
author_sort Kim, Yi-Suk
collection PubMed
description Eyebrows are the most important facial feature in facial recognition with its shape rated to be more helpful than color or density for facial reconstruction or approximation. However, little extant research has estimated the position and morphological territory of the eyebrow from the orbit. Three-dimensional craniofacial models, produced from CT scans of 180 Koreans autopsied at the National Forensic Service Seoul Institute, were used to conduct metric analyses of subjects (125 males and 55 females) between 19 and 49 (mean 35.1) years. We employed 18 craniofacial landmarks to examine the morphometry of the eyebrow and orbit with 35 pairs of distances per subject measured between landmark and reference planes. Additionally, we used linear regression analyses to predict eyebrow shape from the orbit for every possible combination of variables. The morphology of the orbit has more influence on the position of the superior margin of the eyebrow. In addition, the middle part of the eyebrow was more predictable. The highest point of the eyebrow in female was located more medially than the male. Based on our findings, the equations for estimating the position of the eyebrow from the shape of the orbit is useful information for face reconstruction or approximation.
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spelling pubmed-100062202023-03-12 Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification Kim, Yi-Suk Lee, Won-Joon Yun, Ji-Su Kim, Dong-Ho Lozanoff, Scott Lee, U-Young Sci Rep Article Eyebrows are the most important facial feature in facial recognition with its shape rated to be more helpful than color or density for facial reconstruction or approximation. However, little extant research has estimated the position and morphological territory of the eyebrow from the orbit. Three-dimensional craniofacial models, produced from CT scans of 180 Koreans autopsied at the National Forensic Service Seoul Institute, were used to conduct metric analyses of subjects (125 males and 55 females) between 19 and 49 (mean 35.1) years. We employed 18 craniofacial landmarks to examine the morphometry of the eyebrow and orbit with 35 pairs of distances per subject measured between landmark and reference planes. Additionally, we used linear regression analyses to predict eyebrow shape from the orbit for every possible combination of variables. The morphology of the orbit has more influence on the position of the superior margin of the eyebrow. In addition, the middle part of the eyebrow was more predictable. The highest point of the eyebrow in female was located more medially than the male. Based on our findings, the equations for estimating the position of the eyebrow from the shape of the orbit is useful information for face reconstruction or approximation. Nature Publishing Group UK 2023-03-10 /pmc/articles/PMC10006220/ /pubmed/36899072 http://dx.doi.org/10.1038/s41598-023-30758-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kim, Yi-Suk
Lee, Won-Joon
Yun, Ji-Su
Kim, Dong-Ho
Lozanoff, Scott
Lee, U-Young
Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title_full Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title_fullStr Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title_full_unstemmed Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title_short Predicting the eyebrow from the orbit using three-dimensional CT imaging in the application of forensic facial reconstruction and identification
title_sort predicting the eyebrow from the orbit using three-dimensional ct imaging in the application of forensic facial reconstruction and identification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006220/
https://www.ncbi.nlm.nih.gov/pubmed/36899072
http://dx.doi.org/10.1038/s41598-023-30758-x
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