Method and system for generating a 3D image of a body shape

A method for generating a 3D image of a body shape, implemented by a processor, comprising the steps of:

• A. obtaining a set of far-field patterns of electromagnetic waves from a given body shape of a human or animal by collecting electromagnetic far-field patterns radiated from physical means, the physical means comprising a body shape model;
• B. establishing a one-to-one correspondence between the body shape and the set of far-field patterns of electromagnetic waves;
• C. representing the far-field patterns as a shape generating vector;
• D. mapping a vector of characteristic parameters to the shape generating vector;
• E. producing a body generation model by taking the vector of characteristic parameters and the shape generating vector as input and output data to form a training dataset for machine learning;
• F. specifying a characteristic vector of an unknown geometric body shape and obtaining a shape generating vector of the unknown geometric body shape based on the body generation model;
• G. obtaining far-field patterns corresponding to the shape generating vector of the unknown geometric body shape;
• and
• H. reconstructing the unknown geometric body shape based on the obtained far-field patterns by an inverse scattering algorithm governed by a Maxwell system,
• wherein the body shape comprises a stationary or moving body shape,
• wherein, if the body shape is the moving body shape, the Maxwell system is taken to be time-dependent with a moving scatterer, and
• wherein the set of far-field patterns of electromagnetic waves comprises electromagnetic spectral data which encodes a color of a scattering object.