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 device-independent 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.
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Cai, Y., Pavlyshak, I., Ye, L., Magargle, R., Hoburg, J. (2009). Virtual Human Imaging. In: Allen, G., Nabrzyski, J., Seidel, E., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2009. Lecture Notes in Computer Science, vol 5544. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01970-8_43
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DOI: https://doi.org/10.1007/978-3-642-01970-8_43
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