Patent ID: 11922593
Assignee: VRIJE UNIVERSITEIT BRUSSEL
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A system, comprising:
a computer implemented with a neural network trained by generating a training dataset of concealed shapes and corresponding bare shapes,
wherein the generating the training dataset comprises:
generating a first dataset comprising a plurality of first surface representations representative of a plurality of bare shapes of a plurality of bodies,
virtually concealing the plurality of bare shapes to obtain a plurality of simulated concealed shapes of the plurality of bodies, and
applying the plurality of simulated concealed shapes to a scanning simulator, the scanning simulator generating a second dataset comprising a plurality of second surface representations representative of the plurality of simulated concealed shapes, and
wherein training the neural network comprises applying the first dataset and the second dataset to the neural network, wherein the first dataset is considered as a ground truth dataset; and

a three dimensional camera device operably coupled to the neural network;
wherein the computer is configured to:
scan one of the concealed shapes using the three dimensional camera device and generate a third surface representation representative of the concealed shape, and
apply the third surface representation to the neural network, the neural network outputting a fourth surface representation representative of an estimated bare shape of the body.