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基于三维数据计算面部对称平面和不对称程度方法的可靠性

Reliability of a Method for Computing Facial Symmetry Plane and Degree of Asymmetry Based on 3D-data.

作者信息

Hartmann Jutta, Meyer-Marcotty Philipp, Benz Michaela, Häusler Gerd, Stellzig-Eisenhauer Angelika

机构信息

Department of Orthodontics, Julius Maximilian University, Würzburg, Germany.

出版信息

J Orofac Orthop. 2007 Nov;68(6):477-90. doi: 10.1007/s00056-007-0652-y.

Abstract

OBJECTIVE

The objective of this study was to analyze the reliability of a landmark-independent method for determining the facial symmetry plane and degree of asymmetry based on three-dimensional data from the facial surface from two sets of recordings, one performed consecutively and one performed on different days.

MATERIALS AND METHODS

We used an optical 3D-sensor to obtain the facial data of one male subject in two sets of ten measurements: the first taken consecutively and the second on different days. The symmetry plane and degree of asymmetry were calculated for each of the resulting twenty sets of data. One set of data was analyzed ten times for control purposes. The calculation of the mean deviation angle between the symmetry planes served as a measure of the reproducibility of these results.

RESULTS

Although the mean angular deviations of the computed symmetry planes, 0.134 degrees (for ten consecutively captured images) and 0.177 degrees (for the ten images captured on different days), were each significantly higher than the mean angular deviation (0.028 degrees) calculated from ten analyses of a single image, they can still be regarded as very small. There were no significant differences in the degree of asymmetry among the three measurement sets. The standard deviations revealed low values.

CONCLUSIONS

This method can be used to compute with high reliability the symmetry planes and degree of asymmetry of facial 3D-data. The color-coded visualization of asymmetrical facial regions makes it possible for this analytical procedure to capture the asymmetries of facial soft tissue with substantially greater precision than 2-dimensional en face images.

摘要

目的

本研究的目的是基于来自面部表面的三维数据,分析一种不依赖地标来确定面部对称平面和不对称程度的方法的可靠性,该数据来自两组记录,一组是连续进行的,另一组是在不同日期进行的。

材料与方法

我们使用光学3D传感器获取一名男性受试者在两组十次测量中的面部数据:第一次是连续进行的,第二次是在不同日期进行的。对得到的二十组数据中的每一组都计算了对称平面和不对称程度。为了进行对照,对一组数据进行了十次分析。计算对称平面之间的平均偏差角作为这些结果可重复性的度量。

结果

尽管计算出的对称平面的平均角度偏差,连续捕获的十张图像为0.134度,不同日期捕获的十张图像为0.177度,均显著高于对单个图像进行十次分析计算出的平均角度偏差(0.028度),但它们仍可被视为非常小。三组测量之间的不对称程度没有显著差异。标准差显示值较低。

结论

该方法可用于高度可靠地计算面部3D数据的对称平面和不对称程度。面部不对称区域的彩色编码可视化使得这种分析程序能够比二维正面图像更精确地捕捉面部软组织的不对称性。

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