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3D mesh and multi-view synthesis implementation using stereo cameras and a depth camera

机译:使用立体相机和深度相机的3D网格和多视图合成实现

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In this paper, we propose a new method of 3D mesh generation and view synthesis for multi-view video generation. The multi-view video can be produced by a view synthesis method and 3D mesh using RGB+Z images which are composed of one or two RGB images and one depth image. We create 36-view images using the view synthesis method and generate 3D mesh with vertexes and faces for free view rendering. Using the image synthesis method, warping, edge compensation, upsampling and 36-view generation processes are used. For 3D mesh, depth and RGB images are converted to the component of 3D mesh data. The quality of synthesized images is measured by MOS(Mean opinion score).
机译:在本文中,我们提出了一种用于多视图视频生成的3D网格生成和视图合成的新方法。可以通过视图合成方法和使用由一幅或两幅RGB图像和一幅深度图像组成的RGB + Z图像生成3D网格来生成多视点视频。我们使用视图合成方法创建36个视图图像,并生成带有顶点和面的3D网格以进行免费视图渲染。使用图像合成方法时,将使用扭曲,边缘补偿,上采样和36视图生成过程。对于3D网格,深度和RGB图像将转换为3D网格数据的分量。合成图像的质量通过MOS(均值评分)进行测量。

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