集成3D点云与多视点视频

Feng Chen, I. Cheng, A. Basu
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引用次数: 5

摘要

近年来,多视点视频在学术界和商业界都受到了极大的关注。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映射合成虚拟多视点视频。然后,通过分析深度信息,将三维点云模型与第一步生成的多视点视频进行整合。实验表明,3D点云可以无缝地插入到多视点视频中,并获得逼真的效果。此外,我们比较了通过插值两个最近的相邻摄像机和重新投影最近的摄像机生成的虚拟视点图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating 3D point clouds with multi-viewpoint video
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.
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