Navigation dependent nonlinear depth scaling

In this paper we discuss the minimum required depth accu-racy for a typical immersive video application. We show how to apply the theory of plenoptic sampling to the case of a single reference camera. In this way we bridge the gap be-tween classical 3D warp applications and the more general plenoptic sampling theorem. From this we derive general rules for the design of a typical immersive video application scenario. We show that the accuracy of depth or disparity information can be adapted very precisely to the applica-tion. In this way we provide a solution for the scalability of depth map designs in dependency of application scenarios, i.e. the scalability of navigation range of the virtual camera or the scalability of the image resolution in dependency of depth resolution.