ANALYSIS OF THE ANTHROPOMETRIC MEASUREMENTS OF THE SMILE USING 3D STEREOPHOTOGRAMMETRY

Isabela dos Santos Moreira, Mirela Cristina Da Silva, J. Mazzi-Chaves, Laís Valencise Magri
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Abstract

3D stereophotogrammetry makes the analysis of facial soft tissues possible, and has the potential to contribute to human identification processes. Nowadays, the images available through social networks are composed of a significant amount of smile photos, making techniques such as 3D stereophotogrammetry relevant. The objective of the present study was to quantitatively analyze the anthropometric measurements of the smile through 3D stereophotogrammetry, including area, angular, and linear measurements. Anatomical landmarks were used to make possible the area, angular, and linear measurements. The sample consisted of 27 volunteers, 13 female and 14 male, both in the 19-25 age group, resulting in a mean age of 22.3±1.9 and 23.3±1.5, respectively. The anatomical landmarks were marked on the face of the volunteers using a black eyeliner, and the photographs were taken using the 3D stereophotogrammetry technique (Vectra H1, Canfield, NY, USA), being 3 photographs with a spontaneous smile and 3 at rest, right lateral, left lateral and frontal of each. Among the results of the comparison between genders and the photo/smile relation of the statistical analysis, variables such as the mentolabial angle and the vermilion height of the upper lip showed significant p-values of 0.046 and 0.014, respectively. It can be concluded that anthropometric measurements of three-dimensional smile images can be performed with the use of 3D stereophotogrammetry, with the purpose of contributing to facial identification methods.
用三维立体摄影测量法分析微笑的人体测量
三维立体摄影测量使面部软组织的分析成为可能,并有可能有助于人类识别过程。如今,通过社交网络提供的图像由大量的微笑照片组成,这使得3D立体摄影测量等技术变得相关。本研究的目的是通过三维立体摄影测量,定量分析微笑的人体测量,包括面积,角度和线性测量。解剖标志被用来进行面积、角度和线性测量。样本由27名志愿者组成,女性13名,男性14名,年龄均为19-25岁,平均年龄分别为22.3±1.9岁和23.3±1.5岁。使用黑色眼线笔在志愿者的脸上标记解剖标志,并使用3D立体摄影测量技术(Vectra H1, Canfield, NY, USA)拍摄照片,包括3张自然微笑的照片和3张静止的照片,每张照片的右侧,左侧和正面。在性别对比和统计分析的照片/微笑关系中,心理角和上唇朱红色高度等变量的p值分别为0.046和0.014。可以得出结论,三维立体摄影测量可以对三维微笑图像进行人体测量,目的是为面部识别方法做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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