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首页> 外文期刊>Journal of Signal and Information Processing >Depth Based View Synthesis Using Graph Cuts for 3DTV
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Depth Based View Synthesis Using Graph Cuts for 3DTV

机译:基于深度的3DTV图形合成视图合成

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In three-dimensional television (3DTV), an interactive free viewpoint selection application has received more attention so far. This paper presents a novel method that synthesizes a free-viewpoint based on multiple textures and depth maps in multi-view camera configuration. This method solves the cracks and holes problem due to sampling rate by performing an inverse warping to retrieve texture images. This step allows a simple and accurate re-sampling of synthetic pixels. To enforce the spatial consistency of color and remove the pixels wrapped incorrectly because of inaccuracy depth maps, we propose some processing steps. The warped depth and warped texture images are used to classify pixels as stable, unstable and disoccluded pixels. The stable pixels are used to create an initial new view by weighted interpolation. To refine the new view, Graph cuts are used to select the best candidates for each unstable pixel. Finally, the remaining disoccluded regions are filled by our inpainting method based on depth information and texture neighboring pixel values. Our experiment on several multi-view data sets is encouraging in both subjective and objective results. Furthermore, our proposal can flexibly use more than two views in multi-view system to create a new view with higher quality.
机译:迄今为止,在三维电视(3DTV)中,交互式自由视点选择应用程序已受到越来越多的关注。本文提出了一种在多视点相机配置中基于多个纹理和深度图合成自由视点的新颖方法。该方法通过执行反翘曲以检索纹理图像,解决了由于采样率导致的裂纹和孔洞问题。该步骤允许对合成像素进行简单而准确的重新采样。为了增强颜色的空间一致性并删除由于深度图不准确而错误包裹的像素,我们提出了一些处理步骤。扭曲深度和扭曲纹理图像用于将像素分类为稳定,不稳定和封闭的像素。稳定像素用于通过加权插值创建初始新视图。为了细化新视图,使用图谱切割为每个不稳定像素选择最佳候选。最后,通过基于深度信息和纹理相邻像素值的修复方法,填充剩余的遮挡区域。我们在几个多视图数据集上的实验在主观和客观结果上都是令人鼓舞的。此外,我们的建议可以在多视图系统中灵活使用两个以上的视图,以创建更高质量的新视图。

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