用于新型视图合成的深度辅助图像绘制

Ismaël Daribo, B. Pesquet-Popescu
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引用次数: 151

摘要

深度图像渲染(DIBR)技术被认为是支持多视图视频(MVV)系统所需的高级3D视频服务的一种有前途的工具。然而,DIBR的一个固有问题是填充由咬合引起的新暴露区域(孔)。本文讨论了咬合问题。为了处理小的咬合,通过深度视频的预处理技术,设计了最先进的补孔策略。对于较大的咬合,深度预处理有一定的局限性,我们提出了一种修复方法来检索缺失的像素。具体来说,我们提出在纹理和结构传播过程中,通过区分场景的前景和背景部分来考虑深度信息。实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth-aided image inpainting for novel view synthesis
Depth Image Based Rendering (DIBR) technique has been recognized as a promising tool for supporting advanced 3D video services required in MultiView Video (MVV) systems. However, an inherent problem with DIBR is to fill newly exposed areas (holes) caused by disocclusions. This paper addresses the disocclusion problem. To deal with small disocclusions, hole-filling strategies have been designed by the state-of-the-art through pre-processing techniques of the depth video. For larger disocclusions, where depth pre-processing has some limitations, we propose an inpainting approach to retrieve missing pixels. Specifically, we propose in the texture and structure propagation process to take into account the depth information by distinguishing foreground and background parts of the scene. Experimental results illustrate the efficiency of the proposed method.
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