基于原子z测试的大规模并行cpu虚拟视图合成

J. Stankowski, A. Dziembowski
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摘要

本文研究了在实际沉浸式视频系统中至关重要的实时虚拟视图合成问题。文献中描述的大多数现有实时视图合成器需要使用专用硬件。在提出的方法中,视图合成算法在CPU上实现,增加了其对配备个人电脑或笔记本电脑等消费设备的用户的可用性。该算法的新颖性是基于原子z测试函数,它允许深度重投影步骤的并行化,这在以前的工作中是不可能的。在包含杂项透视序列和全向序列的测试集上对该方案进行了质量和计算时间的评估。结果与最先进的视图合成算法RVS进行了比较。
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Massively Parallel CPU-based Virtual View Synthesis with Atomic Z-test
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.
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