使用立体相机和深度相机实现3D网格和多视图合成

Hyok Song, Jisang Yoo, Sooyeong Kwak, Cheon Lee, Byeongho Choi
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引用次数: 0

摘要

本文提出了一种用于多视点视频生成的三维网格生成和视图合成新方法。采用一幅或两幅RGB图像和一幅深度图像组成的RGB+Z图像,采用视图合成方法和三维网格制作多视图视频。我们使用视图合成方法创建36视图图像,并生成带有顶点和面的3D网格,用于自由视图渲染。采用图像合成方法,采用了扭曲、边缘补偿、上采样和36视图生成过程。对于3D网格,将深度和RGB图像转换为3D网格数据的分量。合成图像的质量用MOS(Mean opinion score)来衡量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D mesh and multi-view synthesis implementation using stereo cameras and a depth camera
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).
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