The development and testing of Thai facial soft tissue thickness data in three-dimensional computerized forensic facial reconstruction

Author:

Navic Pagorn12ORCID,Palee Patison3,Prapayasatok Sangsom4,Prasitwattanaseree Sukon5,Sinthubua Apichat267,Mahakkanukrauh Pasuk267ORCID

Affiliation:

1. PhD Program in Anatomy, Faculty of Medicine, Chiang Mai University, Thailand

2. Department of Anatomy, Faculty of Medicine, Chiang Mai University, Thailand

3. College of Arts, Media and Technology, Chiang Mai University, Thailand

4. Division of Oral and Maxillofacial Radiology, Faculty of Dentistry, Chiang Mai University, Thailand

5. Department of Statistics, Faculty of Science, Chiang Mai University, Thailand

6. Excellence Center in Osteology Research and Training Center, Chiang Mai University, Thailand

7. Forensic Osteology Research Center, Faculty of Medicine, Chiang Mai University, Thailand

Abstract

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.

Funder

Excellence Center in Osteology Research and Training Center (ORTC), Chiang Mai University

Faculty of Medicine, Chiang Mai University

Publisher

SAGE Publications

Subject

Law,Health Policy,Issues, ethics and legal aspects

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