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Multi-View Video Representation Based on Fast Monte Carlo Surface Reconstruction

机译:基于快速蒙特卡洛曲面重构的多视点视频表示

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This paper provides an alternative solution to the costly representation of multi-view video data, which can be used for both rendering and scene analyses. Initially, a new efficient Monte Carlo discrete surface reconstruction method for foreground objects with static background is presented, which outperforms volumetric techniques and is suitable for GPU environments. Some extensions are also presented, which allow a speeding up of the reconstruction by exploiting multi-resolution and temporal correlations. Then, a fast meshing algorithm is applied, which allows interpolating a continuous surface from the discrete reconstructed points. As shown by the experimental results, the original video frames can be approximated with high accuracy by projecting the reconstructed foreground objects onto the original viewpoints. Furthermore, the reconstructed scene can be easily projected onto any desired virtual viewpoint, thus simplifying the design of free-viewpoint video applications. In our experimental results, we show that our techniques for reconstruction and meshing compare favorably with the state-of-the-art, and we also introduce a rule-of-thumb for effective application of the method with a good quality versus representation cost trade-off.
机译:本文为昂贵的多视图视频数据表示提供了一种替代解决方案,该方法可用于渲染和场景分析。最初,提出了一种新的有效的具有静态背景的前景对象的有效蒙特卡罗离散表面重构方法,该方法优于体积技术,适用于GPU环境。还提出了一些扩展,这些扩展允许通过利用多分辨率和时间相关性来加快重建速度。然后,应用快速网格划分算法,该算法允许从离散的重构点内插连续表面。如实验结果所示,通过将重构的前景对象投影到原始视点上,可以高精度地近似原始视频帧。此外,重建的场景可以轻松地投影到任何所需的虚拟视点上,从而简化了自由视点视频应用程序的设计。在我们的实验结果中,我们证明了我们的重建和网格划分技术与最新技术相比具有优势,并且我们还引入了经验法则,以有效地应用该方法,质量相对于代表成本交易-关。

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