Object Boundary Based Denoising For Depth Images

Economical RGB-D cameras such as Kinect can produce both RGB and depth (RGB-D) images in real-time. The accuracy of various RGB-D related applications suffers from depth image noise. This paper proposes a solution to the problem by estimating depth edges that correspond to the object boundaries and using them as priors in the hole filling process. This method exhibits quantitative and qualitative improvements over the current state-of-the-art methods.