Human Hand Model Calibration Using 3D Reconstruction from Multiple Silhouette Views

As real-time performance of 3D graphics machines is achieved the ability to interact more naturally with synthetic 3D scenes is needed. Humans manipulate objects in a spatial environment most easily with their hands and the same should be true for synthetic 3D scene manipulation. Thus, a system is needed for recognition of human hand position and configuration which does not encumber hand movement. This paper describes a system which computes a 3D reconstruction from multiple camera views of a human hand. A polyhedron synthetic model of the human hand is then modified to most closely match the size and shape of the reconstructed human hand. Ultimately, the calibrated hand model will be used in a real-time modelbased hand configuration recognition system. This system will include multiple cameras and back-l lighting surrounding a convenient hand working space of perhaps one cubic meter.