Real-time Non-rigid Reconstruction using an RGB-D Camera

Figure 1: Our system enables the real-time capture of general shapes undergoing non-rigid deformations using a single depth camera. Top left: the object to be captured is scanned while undergoing rigid deformations, creating a base template. Bottom left: the object is manipulated and our method deforms the template to track the object. Top and middle row: we show our reconstruction for upper body, face, and hand sequences being captured in different poses as they are deformed. Bottom row: we show corresponding color and depth data for the reconstructed mesh in the middle row. We present a combined hardware and software solution for marker-less reconstruction of non-rigidly deforming physical objects with arbitrary shape in real-time. Our system uses a single self-contained stereo camera unit built from off-the-shelf components and con-sumer graphics hardware to generate spatio-temporally coherent 3D models at 30 Hz. A new stereo matching algorithm estimates real-time RGB-D data. We start by scanning a smooth template model of the subject as they move rigidly. This geometric surface prior avoids strong scene assumptions, such as a kinematic huma