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Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions

PURPOSE: Accuracy of image matching between resting and smiling facial models is affected by the stability of the reference surfaces. This study aimed to investigate the morphometric variations in subdivided facial units during resting, posed and spontaneous smiling. MATERIALS AND METHODS: The posed...

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Autores principales: Mai, Hang-Nga, Win, Thaw Thaw, Tong, Minh Son, Lee, Cheong-Hee, Lee, Kyu-Bok, Kim, So-Yeun, Lee, Hyun-Woo, Lee, Du-Hyeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Prosthodontics 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992697/
https://www.ncbi.nlm.nih.gov/pubmed/36908751
http://dx.doi.org/10.4047/jap.2023.15.1.1
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author Mai, Hang-Nga
Win, Thaw Thaw
Tong, Minh Son
Lee, Cheong-Hee
Lee, Kyu-Bok
Kim, So-Yeun
Lee, Hyun-Woo
Lee, Du-Hyeong
author_facet Mai, Hang-Nga
Win, Thaw Thaw
Tong, Minh Son
Lee, Cheong-Hee
Lee, Kyu-Bok
Kim, So-Yeun
Lee, Hyun-Woo
Lee, Du-Hyeong
author_sort Mai, Hang-Nga
collection PubMed
description PURPOSE: Accuracy of image matching between resting and smiling facial models is affected by the stability of the reference surfaces. This study aimed to investigate the morphometric variations in subdivided facial units during resting, posed and spontaneous smiling. MATERIALS AND METHODS: The posed and spontaneous smiling faces of 33 adults were digitized and registered to the resting faces. The morphological changes of subdivided facial units at the forehead (upper and lower central, upper and lower lateral, and temple), nasal (dorsum, tip, lateral wall, and alar lobules), and chin (central and lateral) regions were assessed by measuring the 3D mesh deviations between the smiling and resting facial models. The one-way analysis of variance, Duncan post hoc tests, and Student’s t-test were used to determine the differences among the groups (α = .05). RESULTS: The smallest morphometric changes were observed at the upper and central forehead and nasal dorsum; meanwhile, the largest deviation was found at the nasal alar lobules in both the posed and spontaneous smiles (P < .001). The spontaneous smile generally resulted in larger facial unit changes than the posed smile, and significant difference was observed at the alar lobules, central chin, and lateral chin units (P < .001). CONCLUSION: The upper and central forehead and nasal dorsum are reliable areas for image matching between resting and smiling 3D facial images. The central chin area can be considered an additional reference area for posed smiles; however, special cautions should be taken when selecting this area as references for spontaneous smiles.
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spelling pubmed-99926972023-03-09 Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions Mai, Hang-Nga Win, Thaw Thaw Tong, Minh Son Lee, Cheong-Hee Lee, Kyu-Bok Kim, So-Yeun Lee, Hyun-Woo Lee, Du-Hyeong J Adv Prosthodont Original Article PURPOSE: Accuracy of image matching between resting and smiling facial models is affected by the stability of the reference surfaces. This study aimed to investigate the morphometric variations in subdivided facial units during resting, posed and spontaneous smiling. MATERIALS AND METHODS: The posed and spontaneous smiling faces of 33 adults were digitized and registered to the resting faces. The morphological changes of subdivided facial units at the forehead (upper and lower central, upper and lower lateral, and temple), nasal (dorsum, tip, lateral wall, and alar lobules), and chin (central and lateral) regions were assessed by measuring the 3D mesh deviations between the smiling and resting facial models. The one-way analysis of variance, Duncan post hoc tests, and Student’s t-test were used to determine the differences among the groups (α = .05). RESULTS: The smallest morphometric changes were observed at the upper and central forehead and nasal dorsum; meanwhile, the largest deviation was found at the nasal alar lobules in both the posed and spontaneous smiles (P < .001). The spontaneous smile generally resulted in larger facial unit changes than the posed smile, and significant difference was observed at the alar lobules, central chin, and lateral chin units (P < .001). CONCLUSION: The upper and central forehead and nasal dorsum are reliable areas for image matching between resting and smiling 3D facial images. The central chin area can be considered an additional reference area for posed smiles; however, special cautions should be taken when selecting this area as references for spontaneous smiles. The Korean Academy of Prosthodontics 2023-02 2023-02-23 /pmc/articles/PMC9992697/ /pubmed/36908751 http://dx.doi.org/10.4047/jap.2023.15.1.1 Text en © 2023 The Korean Academy of Prosthodontics https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://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
Mai, Hang-Nga
Win, Thaw Thaw
Tong, Minh Son
Lee, Cheong-Hee
Lee, Kyu-Bok
Kim, So-Yeun
Lee, Hyun-Woo
Lee, Du-Hyeong
Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title_full Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title_fullStr Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title_full_unstemmed Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title_short Three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
title_sort three-dimensional morphometric analysis of facial units in virtual smiling facial images with different smile expressions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992697/
https://www.ncbi.nlm.nih.gov/pubmed/36908751
http://dx.doi.org/10.4047/jap.2023.15.1.1
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