Methods of estimating a bare body shape from a concealed scan of the body

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
• at least one camera device operably coupled to the neural network;
• wherein the at least one camera device is configured to capture at least one image a physical concealed shape and feed the at least one image to the computer;
• wherein the computer is configured to:
• generate a third surface representation representative of the physical concealed shape from the at least one image, wherein the third surface representation comprises a three-dimensional point cloud, 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 physical concealed shape.