DI3D System to help in developing Next Generation Face Recognition Technology

DI3D System to help University of Stirling in next gen face recognition research project

DI3D System & Next Gen Facial Recognition Technology

Psychologists from the University of Stirling will play a central role in a £6 million study to develop next generation face recognition technology. Led by highly respected Psychology Professor, Prof Peter Hancock, the research team will investigate the psychology behind how humans recognise familiar faces.

Commencing in January 2016, people’s faces will be captured in 3D using the DI3D System, helping to build a database for part of the research project. 

The five-year project will bring university research teams from across the UK together with the Home Office and industry specialists to consider its potential in enhancing global security.

Read more on the University of Stirling website.


Image courtesy of BBC website


Sample Data

We have created some DI4D SNAP 6200 sample data which is available for you to download.

The data is comprised of multiple polygonal meshes and accompanying texture maps. The data is available as a collection of OBJ files where each OBJ contains a single static 3D capture. OBJ files can be opened in most standard 3D modelling packages such as 3DS Max®, Maya® or Blender.

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