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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Pagorn Navic | en_US |
dc.contributor.author | Patison Palee | en_US |
dc.contributor.author | Sangsom Prapayasatok | en_US |
dc.contributor.author | Sukon Prasitwattanaseree | en_US |
dc.contributor.author | Apichat Sinthubua | en_US |
dc.contributor.author | Pasuk Mahakkanukrauh | en_US |
dc.date.accessioned | 2022-05-27T08:35:58Z | - |
dc.date.available | 2022-05-27T08:35:58Z | - |
dc.date.issued | 2022-04-01 | en_US |
dc.identifier.issn | 20421818 | en_US |
dc.identifier.issn | 00258024 | en_US |
dc.identifier.other | 2-s2.0-85120504004 | en_US |
dc.identifier.other | 10.1177/00258024211057689 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120504004&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/73129 | - |
dc.description.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. | en_US |
dc.subject | Medicine | en_US |
dc.subject | Nursing | en_US |
dc.subject | Social Sciences | en_US |
dc.title | The development and testing of Thai facial soft tissue thickness data in three-dimensional computerized forensic facial reconstruction | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Medicine, Science and the Law | en_US |
article.volume | 62 | en_US |
article.stream.affiliations | Faculty of Medicine, Chiang Mai University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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