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A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour

The influence of three-dimensional facial contour and dynamic evaluation decoding on factors of smile esthetics is essential for facial beauty improvement. However, the kinematic features of the facial smile contour and the contribution from the soft tissue and underlying skeleton are uncharted. Her...

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Autores principales: Lin, Yi, Lin, Han, Lin, Qiuping, Zhang, Jinxin, Zhu, Ping, Lu, Yao, Zhao, Zhi, Lv, Jiahong, Lee, Mln Kyeong, Xu, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766427/
https://www.ncbi.nlm.nih.gov/pubmed/26911450
http://dx.doi.org/10.1038/srep22103
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author Lin, Yi
Lin, Han
Lin, Qiuping
Zhang, Jinxin
Zhu, Ping
Lu, Yao
Zhao, Zhi
Lv, Jiahong
Lee, Mln Kyeong
Xu, Yue
author_facet Lin, Yi
Lin, Han
Lin, Qiuping
Zhang, Jinxin
Zhu, Ping
Lu, Yao
Zhao, Zhi
Lv, Jiahong
Lee, Mln Kyeong
Xu, Yue
author_sort Lin, Yi
collection PubMed
description The influence of three-dimensional facial contour and dynamic evaluation decoding on factors of smile esthetics is essential for facial beauty improvement. However, the kinematic features of the facial smile contour and the contribution from the soft tissue and underlying skeleton are uncharted. Here, the cheekbone-maxilla contour and nasolabial fold were combined into a “smile contour” delineating the overall facial topography emerges prominently in smiling. We screened out the stable and unstable points on the smile contour using facial motion capture and curve fitting, before analyzing the correlation between soft tissue coordinates and hard tissue counterparts of the screened points. Our finding suggests that the mouth corner region was the most mobile area characterizing smile expression, while the other areas remained relatively stable. Therefore, the perioral area should be evaluated dynamically while the static assessment outcome of other parts of the smile contour contribute partially to their dynamic esthetics. Moreover, different from the end piece, morphologies of the zygomatic area and the superior part of the nasolabial crease were determined largely by the skeleton in rest, implying the latter can be altered by orthopedic or orthodontic correction and the former better improved by cosmetic procedures to improve the beauty of smile.
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spelling pubmed-47664272016-03-02 A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour Lin, Yi Lin, Han Lin, Qiuping Zhang, Jinxin Zhu, Ping Lu, Yao Zhao, Zhi Lv, Jiahong Lee, Mln Kyeong Xu, Yue Sci Rep Article The influence of three-dimensional facial contour and dynamic evaluation decoding on factors of smile esthetics is essential for facial beauty improvement. However, the kinematic features of the facial smile contour and the contribution from the soft tissue and underlying skeleton are uncharted. Here, the cheekbone-maxilla contour and nasolabial fold were combined into a “smile contour” delineating the overall facial topography emerges prominently in smiling. We screened out the stable and unstable points on the smile contour using facial motion capture and curve fitting, before analyzing the correlation between soft tissue coordinates and hard tissue counterparts of the screened points. Our finding suggests that the mouth corner region was the most mobile area characterizing smile expression, while the other areas remained relatively stable. Therefore, the perioral area should be evaluated dynamically while the static assessment outcome of other parts of the smile contour contribute partially to their dynamic esthetics. Moreover, different from the end piece, morphologies of the zygomatic area and the superior part of the nasolabial crease were determined largely by the skeleton in rest, implying the latter can be altered by orthopedic or orthodontic correction and the former better improved by cosmetic procedures to improve the beauty of smile. Nature Publishing Group 2016-02-25 /pmc/articles/PMC4766427/ /pubmed/26911450 http://dx.doi.org/10.1038/srep22103 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Lin, Yi
Lin, Han
Lin, Qiuping
Zhang, Jinxin
Zhu, Ping
Lu, Yao
Zhao, Zhi
Lv, Jiahong
Lee, Mln Kyeong
Xu, Yue
A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title_full A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title_fullStr A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title_full_unstemmed A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title_short A novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
title_sort novel three-dimensional smile analysis based on dynamic evaluation of facial curve contour
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766427/
https://www.ncbi.nlm.nih.gov/pubmed/26911450
http://dx.doi.org/10.1038/srep22103
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