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2-D-to-3-D conversion is one way to make full use of 2-D contents to produce 3-D contents. Real-time 2-D-to-3-D conversion is required for 3-D consumer electronic devices, which demands fast processing speed especially for high-definition videos. In this paper, we propose a reconfigurable VLSI architecture for real-time 2-D-to-3-D conversion. Two different depth-retrieval methods are implemented in this architecture in order to support the choice of a best method or combination of different methods. The proposed architecture can also support different resolutions (4K, 1080p, and 720p) and the original view can be configured as either left view or right view. In order to overcome the problem of “Memory Wall”, we propose a data reuse method to reduce memory traffic for the proposed architecture so that the overall performance is improved to realize real-time conversion. The experiment result shows that the implemented 2-D-to-3-D architecture can achieve state-of-the-art throughput (4K@30f/s).
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Xu et al. (2017) studied this question.
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