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Integrating 3D point clouds with multi-viewpoint video

机译:将3D点云与多视点视频集成

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摘要

Multi-viewpoint video has recently gained significant attention in academic and commercial fields. In this work, we propose a new method for incorporating 3D point cloud models into multi-viewpoint video. First, we synthesize virtual multi-viewpoint video utilizing depth and texture maps of the input video. Then, we integrate 3D point cloud models with the resulting multi-viewpoint video generated in the first step by analyzing the depth information. As shown in our experiments, 3D point clouds can be seamlessly inserted into a multi-viewpoint video and realistic effect can be obtained. In addition, we compare the virtual viewpoint image generated by interpolating the two nearest neighbor cameras and by re-projecting the nearest camera.
机译:最近,多视点视频在学术和商业领域受到了广泛关注。在这项工作中,我们提出了一种将3D点云模型合并到多视点视频中的新方法。首先,我们利用输入视频的深度和纹理贴图来合成虚拟多视点视频。然后,我们通过分析深度信息,将3D点云模型与第一步中生成的最终多视点视频集成在一起。如我们的实验所示,可以将3D点云无缝地插入到多视点视频中,并且可以获得逼真的效果。此外,我们比较了通过插入两个最近的相邻相机并重新投影最近的相机而生成的虚拟视点图像。

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