Extending Computer Vision to Hidden Objects: A Tutorial on Millimeter-Wave Imaging and Reconstruction of Occluded Scenes

Millimeter-wave (mmWave) sensing is emerging as a new modality for computer vision, enabling perception of objects and scenes that are occluded or invisible to traditional cameras. This tutorial introduces the fundamentals of mmWave imaging, highlighting how its physical properties enable through-occlusion sensing and all-weather perception. It covers both classical signal-processing approaches and recent learning-based methods for 3D reconstruction, segmentation, and scene understanding. The tutorial further provides practical guidance on datasets, tools, and open challenges, offering a comprehensive entry point for researchers interested in extending vision systems beyond visible light.