Abstract
Methods are disclosed for generating a training dataset of concealed shapes and corresponding unveiled shapes of a body for training a neural network . These methods may include generating with the aid of computing means a first dataset comprising a plurality of first surface representations representative of a plurality of bare shapes of a plurality of bodies . The plurality of bare shapes are concealed virtually by means of a computer implemented program in order to obtain a plurality of simulated concealed shapes of the plurality of bodies . The plurality of simulated concealed shapes are applied 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 .
Original language | English |
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Patent number | US 2022/0245911 A1 |
IPC | G06T 19/20,G06T 13/40 ,GO6N 3/08 |
Priority date | 12/07/19 |
Filing date | 10/07/20 |
Publication status | Published - 4 Aug 2022 |
Externally published | Yes |