Reliability of a method for computing facial symmetry plane and degree of asymmetry based on 3D-data
Reliability of a method for computing facial symmetry plane and degree of asymmetry based on 3D-data
复制标题
DOI：
10.1007/s00056-007-0652-y
复制
发表时间：
2007-11-01
影响因子：
1.7
通讯作者：
Stellzig-Eisenhauer, Angelika
中科院分区：
文献类型：
--
作者：
Hartmann, Jutta;Meyer-Marcotty, Philipp;Stellzig-Eisenhauer, Angelika
目的：本研究的目的是分析的可靠性的地标独立的方法来确定面部对称平面和程度的不对称的基础上的三维数据从面部表面从两组recording.Materials和方法，一个连续进行，一个在不同的day.Materials进行：我们使用了一个光学三维传感器，以获得面部数据的一名男性受试者在两组10个测量：第一次连续服用，第二次在不同的日子服用。计算得到的20组数据中每组的对称平面和不对称度。一组数据被分析十次用于控制目的。对称平面之间的平均偏差角的计算用作这些结果的再现性的量度。结果：虽然计算的对称平面的平均角偏差，0.134度，（对于十个连续捕获的图像）和0.177度（对于在不同日期捕获的十个图像），每个都显著高于平均角偏差（0.028度）计算从一个单一的图像的十个分析，他们仍然可以。被认为是非常小的。三个测量集之间的不对称程度无显著差异。结论：该方法可用于高可靠性地计算面部三维数据的对称面和不对称度。不对称面部区域的颜色编码可视化使得该分析过程能够以比2维正面图像大得多的精度捕获面部软组织的不对称性。
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.