Massively Parallel CPU-based Virtual View Synthesis with Atomic Z-test

Abstract

In this paper we deal with the problem of real-time virtual view synthesis, which is crucial in practical immersive video systems. The majority of existing real-time view synthesizers described in literature require using dedicated hardware. In the proposed approach, the view synthesis algorithm is implemented on a CPU increasing its usability for users equipped with consumer devices such as personal computers or laptops. The novelty of the proposed algorithm is based on the atomic z-test function, which allows for parallelization of the depth reprojection step, what was not possible in previous works. The proposal was evaluated on a test set containing miscellaneous perspective and omnidirectional sequences, both in terms of quality and computational time. The results were compared to the state-of-the-art view synthesis algorithm – RVS.