3D whole body imaging for detecting explosive-related threats

In this work, a whole-body imaging system for concealed objects detection using a mm-wave radar is presented. 3D high resolution images are generated using a two step process. Initially, an inverse source-based Fast Multipole Method (iFMM) provides a first approximation to the true human torso. Afterwards, the retrieved geometry is refined using the Iterative Field Matrix (IFM) technique. Assuming smooth variations of the human body profile, the object detection is performed by comparing the retrieved surface with a smoothed one. Results are based on Physical Optics simulations of the human body, considering both cases with and without objects.