HAC2 Automated Facial Approximation of Unidentified Human Skulls
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The issue of unidentified remains that cannot be traced back to their families or communities is an increasing humanitarian concern. Forensic facial reconstruction given a skull can be employed to support the identification of unidentified human remains. The aim of this research is to explore the possibility of using recent computer vision techniques, more specifically image-to-image translation models, to predict the 2D facial image of a human from their skull image. This by no means will be considered as a tool for identity confirmation but rather to generate leads to the possible identity. The document describes the problem definition in connection to existing computer vision models, the proposed solution, and the basic challenges.
Credits Main Image: ICRC./ Aleksander Imedashvili / 14.09.2016/ Tbilisi, Levan Samkharauli National Forensics Bureau


Dr. EmelineDarçot is a project manager at the EssentialTech Centre in Lausanne, Switzerland, which harnesses innovation in support of sustainable development,humanitarian action and peace promotion. She is currently coordinating the Engineering Humanitarian Action programme within the Humanitarian Division.
She holds a PhD in Life Science from the University of Lausanne (Switzerland). After a PhD and a postdoctoral position in biomedical imaging at the University Hospital of Lausanne (CHUV), Emeline joined the EPFL EssentialTech Centre in 2021 as a project coordinator on the Ren’All Care project. She then joined the EPFL Research Office in 2022 as project manager and coordinates since then the Engineering Humanitarian Action programme within the Humanitarian Division of the EssentialTech Centre.

