The development and testing of Thai facial soft tissue thickness data in three-dimensional computerized forensic facial reconstruction
| Autor: | Patison Palee, Sangsom Prapayasatok, Pagorn Navic, Apichat Sinthubua, Pasuk Mahakkanukrauh, Sukon Prasitwattanaseree |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Computer science Context (language use) Imaging Three-Dimensional Thai population medicine Humans Computer vision Computer animation business.industry Health Policy Skull Reproducibility of Results Soft tissue Middle Aged Thailand Forensic facial reconstruction Issues ethics and legal aspects medicine.anatomical_structure Facial reconstruction Face Face (geometry) Forensic Anthropology Female Artificial intelligence business Law |
| Zdroj: | Medicine, Science and the Law. 62:113-123 |
| ISSN: | 2042-1818 0025-8024 |
| Popis: | 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 ( x, y, z) 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. |
| Databáze: | OpenAIRE |
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