3D Faces from 2D Pictures

Abstract

A very difficult problem to solve is that of having 3D facial reconstructions from single 2D images. Here we discuss a remarkable software solving this task, developed by Jackson, Bulat, Argyriou and Tzimiropoulos at the University of Nottingham and Kingston University. The researchers have obtained their result by training a Convolutional Neural Network (CNN) on an appropriate dataset consisting of 2D images and 3D facial models.

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