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Multi-View Stereoscopic Image Synthesis Algorithm for 3DTV

机译:3DTV的多视立体图像合成算法

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In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. To furnish the motion parallax cue in each synthesized view, spatial and rotational transformation techniques were applied to foreground layer, and a new occlusion filling process was applied to both the foreground and background layers, as well. To add a stereoscopic depth cue to each synthesized view as a reference (left), we also generate a corresponding right view based on a virtual parallel camera model. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.
机译:在本文中,我们提出了一种3DTV系统的多视图立体图像合成算法,该算法使用深度相机的RGB纹理的深度信息。所提出的算法合成了虚拟会聚相机模型可以生成的多视点图像。为了在每个合成视图中提供运动视差提示,将空间和旋转变换技术应用于前景层,并且还将新的遮挡填充过程应用于前景层和背景层。为了向每个合成视图添加立体深度提示作为参考(左),我们还基于虚拟并行相机模型生成了相应的右视图。实验结果表明,该算法的性能优于传统方法。

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