PhD Program in Anatomy, Faculty of Medicine, 26682Chiang Mai University, Thailand.
Department of Anatomy, Faculty of Medicine, 26682Chiang Mai University, Thailand.
Med Sci Law. 2022 Apr;62(2):113-123. doi: 10.1177/00258024211057689. Epub 2021 Nov 26.
Forensic facial reconstruction is a useful tool to assist the public in recognizing human remains, leading to positive forensic investigation outcomes. To reproduce a virtual face, facial soft tissue thickness is one of the major guidelines to reach the accuracy and reliability for three-dimensional computerized facial reconstruction, a method that is making a significant contribution to improving forensic investigation and identification. This study aimed to develop a facial soft tissue thickness dataset for a Thai population, and test its reliability in the context of facial reconstruction. Three-dimensional facial reconstruction was conducted on four skulls (2 males and 2 females, with ages ranging between 51 to 60 years). Two main tools of three-dimensional computer animation and modeling software-Blender and Autodesk Maya-were used to rebuild the three-dimensional virtual face. The three-dimensional coordinate (, , ) cutaneous landmarks on the mesh templates were aligned homologous to the facial soft tissue thickness markers on the three-dimensional skull model. The final three-dimensional virtual face was compared to the target frontal photograph using face pool comparison. Four three-dimensional virtual faces were matched at low to moderate levels, ranging from 30% to 70% accuracy. These results demonstrate that the facial soft tissue thickness database of a Thai population applied in this study could be useful for three-dimensional computerized facial reconstruction purposes.
法医面像重建是一种有助于公众识别人类遗骸的有用工具,可导致法医调查结果呈阳性。为了再现虚拟人脸,面部软组织厚度是实现三维计算机面部重建准确性和可靠性的主要指导方针之一,该方法为改进法医调查和识别做出了重大贡献。本研究旨在开发泰国人群的面部软组织厚度数据集,并在面部重建的背景下测试其可靠性。对四个颅骨(2 男 2 女,年龄在 51 至 60 岁之间)进行了三维面部重建。使用三维计算机动画和建模软件的两个主要工具——Blender 和 Autodesk Maya——来重建三维虚拟人脸。在网格模板上的三维坐标(,,)皮肤标志点与三维颅骨模型上的面部软组织厚度标志点进行同源对齐。最终的三维虚拟人脸与目标正面照片使用人脸库进行比较。四个三维虚拟人脸的匹配程度为低到中度,准确性在 30%到 70%之间。这些结果表明,本研究中应用的泰国人群的面部软组织厚度数据库可用于三维计算机面部重建。