  Image based rendering is a fundamental problem in computer vision and
graphics. Modern techniques often rely on depth image for the 3D construction.
However for most of the existing depth cameras, the large and unpredictable
noises can be problematic, which can cause noticeable artifacts in the rendered
results. In this paper, we proposed an efficacious method for depth image noise
removal that can be applied for most RGBD systems. The proposed solution will
benefit many subsequent vision problems such as 3D reconstruction, novel view
rendering, object recognition. Our experimental results demonstrate the
efficacy and accuracy.
