Model for Large-Scale 3D Facial Recognition

Can information in other dimensions include other useful business components of an image?

New Model for Large-Scale 3D Facial Recognition
By University of Western Australia 

University of Western Australia researchers have developed a three-dimensional (3D) facial recognition system based on the analysis of 3.1-million 3D scans of more than 100,000 people.

The team trained its FR3DNet system to learn the identities of a large dataset of "known" persons and then match a test face to one of those identities.

The research demonstrates that recognition performance on 3D scans is getting “better and more robust,” says the University of Western Australia's Syed Zulqarnain Gilani.

FR3DNet can identify faces in any pose, wearing glasses or a face mask, laughing or smiling, says Gilani, adding, “We hope that this research will help improve security on devices that use facial recognition to grant access to networks and systems.” ... " 

From University of Western Australia