Iliev Georgi Veselinov, Romeo Giuseppe
Int J Esthet Dent. 2020;15(1):92-106.
The aim of this study was to create mathematical modeling to generate statistical models that reliably and quickly identify facial type while smiling. This analysis enables the creation of a digital design for the prosthetic restoration of the anterior teeth.
The study involved the computer analysis of 91 facial images. Through mathematical modeling, digital facial maps were generated consisting of 27 landmark points and 12 basic lines determining the facial type. Four main facial types were defined for the purposes of this study: strong, dynamic, delicate, and calm. Selected data were recorded in a database and analyzed using IBM SPSS Modeler software.
A varying number of combinations characterize the face; 61.5% of people have the features of two facial types, and 38.5% of three facial types. The overall analysis of the data for both genders shows the most accurate model for predicting facial type by digital facial map is the created algorithm C5.1 (classification tree), with a general prediction accuracy of 84.3%.
Dental Anatomical Combinations with Rebel Simplicity systems is a constructive way to ensure harmonious unity between the teeth and the facial type. Digital facial maps provide reliable and fast identification of the facial type while smiling. This analysis enables the creation of a digital design for the prosthetic restoration of the anterior teeth.
本研究的目的是创建数学模型以生成统计模型，从而在微笑时可靠且快速地识别面部类型。该分析有助于为前牙的修复体创建数字化设计。
本研究对91张面部图像进行了计算机分析。通过数学建模，生成了由27个地标点和12条确定面部类型的基本线组成的数字面部地图。为该研究定义了四种主要面部类型：强壮型、动态型、精致型和平静型。选定的数据记录在数据库中，并使用IBM SPSS Modeler软件进行分析。
不同数量的组合表征面部；61.5%的人具有两种面部类型的特征，38.5%的人具有三种面部类型的特征。对两性数据的总体分析表明，通过数字面部地图预测面部类型的最准确模型是所创建的算法C5.1（分类树），总体预测准确率为84.3%。
“反叛简约”系统中的牙齿解剖组合是确保牙齿与面部类型和谐统一的一种建设性方法。数字面部地图可在微笑时可靠且快速地识别面部类型。该分析有助于为前牙的修复体创建数字化设计。
