Improved detection of landmarks on 3D human face data.
Improved detection of landmarks on 3D human face data.
复制标题
DOI：
10.1109/embc.2013.6611039
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Shapiro LG
中科院分区：
文献类型：
--
作者：
Liang S;Wu J;Weinberg SM;Shapiro LG
颅面研究人员在其形态计量学分析中大量使用已建立的面部标志。对于非常大的面部图像数据集的研究，手动标记的标准方法是非常劳动密集型的。为了产生20个已建立的地标，我们开发了一种几何方法，可以在人体3D面部扫描上自动定位10个已建立的地标点和7个其他支援点。然后，为了提高精度并产生所有20个地标，可变形匹配程序建立了从模板3D网格到每个单独3D网格的密集对应关系，其中包含全套20个地标。单个3D网格上的17个几何确定点用于可变形匹配所需的初始对应。该方法在115个正常成年人的3D面部网格上进行评估，并将结果与医学专家手动识别的地标进行比较。我们的结果显示了一个显着的改进，先前的结果在最近的文献。
Craniofacial researchers make heavy use of established facial landmarks in their morphometric analyses. For studies on very large facial image datasets, the standard approach of manual landmarking is very labor intensive. With the goal of producing 20 established landmarks, we have developed a geometric methodology that can automatically locate 10 established landmark points and 7 other supporting points on human 3D facial scans. Then, to improve accuracy and produce all 20 landmarks, a deformable matching procedure establishes a dense correspondence from a template 3D mesh with a full set of 20 landmarks to each individual 3D mesh. The 17 geometrically-determined points on the individual 3D mesh are used for the initial correspondence required by the deformable matching. The method is evaluated on 115 3D facial meshes of normal adults, and results are compared to landmarks manually identified by medical experts. Our results show a marked improvement to prior results in the recent literature.