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An Automatic Method for Computerized Head and Facial Anthropometry

机译:头部和面部人体计算机化的自动方法

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Facial anthropometry plays an important role in ergonomic applications. Most ergonomically-designed products depend on stable and accurate human body measurement data. Head and facial anthropometric dimensions provide detailed information on head and facial surfaces to develop well-fitting, comfortable and functionally-effective facial masks, helmets or customized products. Accurate head and facial anthropometry also allows orthognathic surgeons and orthodontists to plan optimal treatments for patients. Our research uses an automatic, geometry-based facial feature extraction method to identify head and facial features, which can be used to develop a highly-accurate feature-based head model. In total, we have automatically located 17 digital length measurements and 5 digital tape measurements on the head and face. Compared to manual length-measurement, the average error, maximum error and standard deviations are 1.70mm, 5.63mm and 1.47mm, respectively, for intra-measurement, and 2.07mm, 5.63mm and 1.44mm, respectively, for inter-measurement. Compared to manual tape-measurement, the average maximum error and standard deviations are 1.52mm, 3.00mm and 0.96mm, respectively, for intra-measurement, and 2.74mm, 5.30mm and 1.79mm, respectively, for inter-measurement. Nearly all of length measurement data and tape measurement data meet the 5mm measuring error standard.
机译:面部人体测量学在人体工程学应用中起着重要作用。大多数符合人体工程学设计的产品都依赖稳定,准确的人体测量数据。头部和面部人体测量尺寸可提供有关头部和面部表面的详细信息,以开发出适合佩戴,舒适且功能有效的面罩,头盔或定制产品。准确的头部和面部人体测量学还允许正颌外科医师和正畸医生为患者计划最佳治疗方案。我们的研究使用一种基于几何的自动面部特征提取方法来识别头部和面部特征,可用于开发高精度的基于特征的头部模型。总共,我们在头和脸部自动定位了17个数字长度测量和5个数字磁带测量。与手动长度测量相比,内部测量的平均误差分别为1.70mm,最大误差和5.63mm和1.47mm,内部测量的平均误差分别为2.07mm,5.63mm和1.44mm。与手动卷尺相比,内部测量的平均最大误差和标准偏差分别为1.52mm,3.00mm和0.96mm,内部测量的平均最大误差和标准偏差分别为2.74mm,5.30mm和1.79mm。几乎所有的长度测量数据和卷尺测量数据都符合5mm测量误差标准。

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