Virtual Human Imaging

Abstract

Given 3D scanned anthropological models and the physical parameters of a microwave imaging system, we develop a virtual human surface imagery system with a finite multi-physics surface model. The concealed object detection algorithms are developed based on the wave intensity and surface characteristics. The virtual human image system can be integrated into a systematic design process, enabling multidisciplinary innovations in security, privacy, healthcare, computer vision, and information visualization. This forward-thinking approach intends to transform the development of human imaging technologies from being device-specific and proprietary to being deviceindependent and open source-oriented. It also transforms the research into a systematic design process, enabling multidisciplinary innovations in digital human modeling, computer vision, information visualization, and computational aesthetics. This study can help to design privacy-aware imaging systems in airports and medical systems.