Robust Tangible Projection Mapping with Multi-View Contour-Based Object Tracking

Dynamic projection mapping for moving objects can greatly enhance an augmented reality representation by using projected images because the target object can be freely moved. However, the interaction between the target object and the user has not been sufficiently considered. In this research, we propose tangible projection mapping, with which a user can grasp an object with their hands and move it freely. It uses a simple configuration of two infrared cameras to realize dynamic projection mapping that is robust to hand occlusion.