Depth camera image processing and applications

Time-of-flight (ToF) and structured light depth cameras have got increasing interest for their ability of direct 3D geometry acquisition. Robotics, computer vision and graphics researchers have tried to employ depth camera for their applications such as robot navigation, gesture recognition, 3d reconstruction, etc. Depth cameras, however, suffer from lots of unique noises such as range ambiguity, scattering and motion blur. For instance, the depth motion blur cannot be correctly removed by any conventional deblurring method yielding serious distortions in 3D reconstruction. In this paper, we introduce various systematic and non-systematic depth errors and state of the art enhancement methods.