Three-dimensional passive millimeter-wave imaging and depth estimation

摘要

We address three-dimensional passive millimeter-wave imaging (MMW) and depth estimation for remote objects. The MMW imaging is very useful for the harsh environment such as fog, smoke, snow, sandstorm, and drizzle. Its penetrating property into clothing provides a great advantage to security and defense systems. In this paper, the feature-based passive MMW stereo-matching process is proposed to estimate the distance of the concealed object under clothing. It will be shown that the proposed method can estimate the distance of the concealed object.