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Foreground Removal Approach for Hole Filling in 3D Video and FVV Synthesis

机译:用于3D视频和FVV合成的空洞填充的前景去除方法

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摘要

The depth-image-based rendering is a key technique for 3D video and free viewpoint video synthesis. One of the critical problems in current synthesis methods is that the background (BG) occluded by the foreground objects might be exposed in the new view, and some holes are produced in the synthesized video. However, most of the traditional hole-filling approaches may bring some blurry effect or artifacts in the virtual view. In this paper, a foreground removal approach for hole filling is proposed, in which the foreground objects are removed from both the 2D video and its corresponding depth map, and then a BG video and its depth map are generated before the 3D warping and used to eliminate the holes in the synthesized video. Moreover, a BG extension method is applied in the reference view to prevent the large holes occurring along the border areas in the virtual view. Our analysis and experimental results have indicated that the proposed approach has better performance compared with the other methods in terms of the quality of synthesized video, computational complexity, and running time in multiview synthesis or multiframe synthesis.
机译:基于深度图像的渲染是3D视频和自由视点视频合成的关键技术。当前合成方法中的关键问题之一是前景对象遮挡的背景(BG)可能会在新视图中暴露,并且合成视频中会产生一些孔。但是,大多数传统的孔填充方法可能会在虚拟视图中带来一些模糊效果或伪影。本文提出了一种前景填充方法,即从2D视频及其对应的深度图中移除前景对象,然后在3D变形之前生成BG视频及其深度图,并将其用于消除合成视频中的漏洞。此外,在参考视图中应用了BG扩展方法,以防止在虚拟视图中沿边界区域出现大的孔洞。我们的分析和实验结果表明,与其他方法相比,该方法在合成视频的质量,计算复杂度以及多视图合成或多帧合成的运行时间方面具有更好的性能。

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