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High-Accuracy Facial Depth Models derived from 3D Synthetic Data

26 Mar 2020 • Khan Faisal • Basak Shubhajit • Javidnia Hossein • Schukat Michael • Corcoran Peter

In this paper, we explore how synthetically generated 3D face models can be used to construct a high accuracy ground truth for depth. This allows us to train the Convolutional Neural Networks (CNN) to solve facial depth estimation problems... (read more)

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High-Accuracy Facial Depth Models derived from 3D Synthetic Data

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