Human face: 3D reconstruction and identification tool
| Componente | Categoria |
|---|---|
| Lorenzo Mauro | Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca |
| Piero Cascone | Componenti strutturati del gruppo di ricerca |
| Paolo Liberatore | Componenti strutturati del gruppo di ricerca |
| Claudio Ungari | Componenti strutturati del gruppo di ricerca |
In recent years, there have been important advances in the ability of precisely reconstructing the 3D face of persons starting from simple photographs (see, as an example, Deng, Yu, et al. "Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set."). However, for many surgical and legal-medical applications, the reconstructed information is not sufficiently complete and detailed. In this project, we aim at investigating the feasibility of extending the current state of the art to significantly more complete models of the human ear that include the bones and the soft tissues,.
We plan to accomplish this research task by putting together the competencies of maxillofacial surgeons and computer science specialists so to:
1 Assemble a dataset composed of images, 3d reconstructions, and CT scans including people with head traumas and pathologies.
2 Develop anatomically accurate models of the human head that includes normal and pathological patients, that can be described by anatomical and genetic parameters.
3 Using Artificial Intelligence and deep learning techniques, implement neural networks-based software tools that will allow us to reconstruct, starting from simple images, the complete structure of the head.
4 As a second step, this will be the basis of a tool for the support of the identification of people from face images.