From sensor noise alone, object location in the scene can be deduce, consequently, 3D motion paths of can be constructed from noise alone. Although camera and sensor noise are often disregarded, assumed negligible or attempted to be removed in the context of denoising, in this paper we show that significant information can actually be deduced from depth camera noise about the captured scene and the objects within it. In this paper, we study depth cameras and specifically their noise properties. ![]() The capabilities, performance and especially the limits of these cameras have been studied and compared. These cameras have been used extensively for human body tracking, pose estimation, action recognition as well as for structure reconstruction, modeling, and many other uses. Recent years have seen the release of consumer level depth cameras such as Microsoft Kinect depth cameras, Intel Realsense, StereoLabs ZED camera and others. Depth cameras capture scene structure by evaluating the distance between points in the scene and the camera.
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