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NHK Meta Studio: A Compact Volumetric TV Studio for 3-D Reconstruction

机译:NHK Meta Studio:用于 3D 重建的紧凑型立体电视演播室

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摘要

Many studies have been conducted on the 3D reconstruction of subjects using multiple fixed cameras. Accepting the trade-off between the number of cameras and reconstruction quality, our studio is designed to capture high-quality models of one or two subjects for TV program use. Several cameras are mounted on a hemispherical dome with the stage in the center and a cloth cover on the frame for chroma-keying. The optimal camera numbers and placements for reconstruction were determined by simulation, and the 3D reconstruction was performed as a point cloud by a combination of visual hull and stereo matching. The quality was still not high enough, however, so we also added a surface light field to the point cloud to obtain the weighted average of rays from camera images close to the viewpoint. In the final stage, the images were then combined to the video, and errors generated during the reconstruction were compensated for by use of a deep neural network (DNN) for video translation. An offline processing studio has been built as a preliminary step towards real-time processing, and the reconstructed 3D images have been evaluated subjectively for a number of subjects. These studies confirm the effectiveness of this studio design.
机译:已经对使用多个固定相机的受试者进行 3D 重建进行了许多研究。我们的演播室接受摄像机数量和重建质量之间的权衡,旨在捕捉一个或两个主题的高质量模型,供电视节目使用。几台摄像机安装在一个半球形圆顶上,舞台位于中央,框架上有一个用于色度键控的布盖。通过仿真确定重建的最佳相机数量和位置,并通过视觉外壳和立体匹配相结合的方式将三维重建作为点云进行。然而,质量仍然不够高,因此我们还在点云中添加了一个表面光场,以获得来自靠近视点的相机图像的光线的加权平均值。在最后阶段,将图像组合到视频中,并使用深度神经网络 (DNN) 进行视频翻译来补偿重建过程中产生的错误。作为实时处理的第一步,已经建立了一个离线处理工作室,并且已经对重建的3D图像进行了许多受试者的主观评估。这些研究证实了这种工作室设计的有效性。

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