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不同微笑表情的虚拟微笑面部图像中面部单元的三维形态计量分析

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

作者信息

Mai Hang-Nga, Win Thaw Thaw, Tong Minh Son, Lee Cheong-Hee, Lee Kyu-Bok, Kim So-Yeun, Lee Hyun-Woo, Lee Du-Hyeong

机构信息

Institute for Translational Research in Dentistry, School of Dentistry, Kyungpook National University, Daegu, Republic of Korea.

Dental School of Hanoi University of business and technology, Hanoi, Vietnam.

出版信息

J Adv Prosthodont. 2023 Feb;15(1):1-10. doi: 10.4047/jap.2023.15.1.1. Epub 2023 Feb 23.

Abstract

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 ( < .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 ( < .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.

摘要

目的

静息面部模型与微笑面部模型之间图像匹配的准确性受参考平面稳定性的影响。本研究旨在调查在静息、摆拍微笑和自然微笑状态下细分面部单元的形态计量学变化。

材料与方法

对33名成年人的摆拍微笑脸和自然微笑脸进行数字化处理,并与静息脸进行配准。通过测量微笑面部模型与静息面部模型之间的三维网格偏差,评估前额(上中央、下中央、上外侧、下外侧和颞部)、鼻部(鼻背、鼻尖、侧壁和鼻翼小叶)以及下巴(中央和外侧)区域细分面部单元的形态变化。采用单因素方差分析、邓肯事后检验和学生t检验来确定组间差异(α = 0.05)。

结果

在上中央前额和鼻背观察到最小的形态计量学变化;同时,在摆拍微笑和自然微笑中,鼻翼小叶的偏差最大(P < 0.001)。自然微笑通常比摆拍微笑导致更大的面部单元变化,并且在鼻翼小叶、中央下巴和外侧下巴单元观察到显著差异(P < 0.001)。

结论

上中央前额和鼻背是静息和微笑三维面部图像之间图像匹配的可靠区域。中央下巴区域可被视为摆拍微笑的额外参考区域;然而,在选择该区域作为自然微笑的参考时应特别谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61b6/9992697/a694bb6a679d/jap-15-1-g001.jpg

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