Visage Technologies
Face Tracking & Analysis


3D selfie

Oct 11, 2017

3D selfieComputer scientists at the University of Nottingham and Kingston University have developed technology capable of producing 3D facial reconstruction from a single 2D image. Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression was led by PhD students Aaron Jackson and Adrian Bulat in the Computer Vision Laboratory in the School of Computer Science, who collaborated with their supervisor Georgios (Yorgos) Tzimiropoulos and Vasileios Argyriou, PhD from the School of Computer Science and Mathematics at Kingston University.

The results will be presented at the International Conference on Computer Vision (ICCV) 2017 in Venice next month, where the Visage Technologies team will also be participating.

The technology has been developed using a convolutional neural network, which was trained on 80 000 faces to directly learn to output the 3D facial geometry from a single 2D image.



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