Patent ID: 11922593
Assignee: TREEDY'S SPRL
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method of generating a training dataset of concealed shapes and corresponding unveiled shapes of a body for training a neural network, the method comprising:
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;
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
generating confidence level values associated with nodes of the plurality of second surface representations, wherein the second surface representations are second point clouds and the confidence level values are associated with points of the second point clouds.