Now showing items 1-2 of 2
High-accuracy facial depth models derived from 3D synthetic data
(Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
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 ...
Accurate 2D facial depth models derived from a 3D synthetic dataset
(Institute of Electrical and Electronics Engineers (IEEE), 2021-05-13)
As Consumer Technologies (CT) seeks to engage and interact more closely with the end-user it becomes important to observe and analyze a user’s interaction with CT devices and associated services. One of the most useful ...