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.

EPFL PI: Prof. Amir Zamir, Visual Intelligence and Learning Lab

Partner: Denise Abboud, ICRC

Photo: ICRC

Field evaluation of the Agilis foot
PAIDIT: Private Anonymous Identity for Digital Transfers