Depth Correction for Depth Camera From Planarity

Depth cameras open new possibilities in fields such as 3D reconstruction, Augmented Reality and video-surveillance since they provide depth information at high frame-rates. However, like any sensor, they have limitations related to their technology. One of them is depth distortion. In this paper, we present a method to estimate depth correction for depth cameras. The proposed method is based on two steps. The first one is a nonplanarity correction that needs depth measurement of different plane views. The second one is an affinity correction that,contrary to state of the art approaches, requires a very small set of ground truth measurements. Thus, it is more easy to use compared to other methods and does not need a large set of accurate ground truth that is extremely difficult to obtain in practice. Experiments on both simulated and real data show that the proposed approach improve also the depth accuracy compare to state of the art methods.