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HAC2 Automated Facial Approximation of Unidentified Human Skulls

Leveraging AI for forensic facial reconstruction to aid in humanitarian identification efforts

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.

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Credits Main Image: ICRC./ Aleksander Imedashvili / 14.09.2016/ Tbilisi, Levan Samkharauli National Forensics Bureau

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Emeline Darçot
Programme Manager - EHA

Emeline Darçot

Programme Manager - EHA

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.

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