Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/73129
Title: The development and testing of Thai facial soft tissue thickness data in three-dimensional computerized forensic facial reconstruction
Authors: Pagorn Navic
Patison Palee
Sangsom Prapayasatok
Sukon Prasitwattanaseree
Apichat Sinthubua
Pasuk Mahakkanukrauh
Keywords: Medicine
Nursing
Social Sciences
Issue Date: 1-Apr-2022
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120504004&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/73129
ISSN: 20421818
00258024
Appears in Collections:CMUL: Journal Articles

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