虚拟视图合成中咬合孔的联合纹理深度像素绘制

S. Reel, Gene Cheung, P. Wong, L. Dooley
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引用次数: 30

摘要

从一个或多个参考视图传输纹理和深度图,使用户可以自由选择虚拟视点,从中通过基于深度图像的渲染(DIBR)合成图像以供观察。然而,在每个dibr合成图像中,仍然存在缺失像素的disocclusion holes,对应于参考图像中被遮挡的空间区域。为了弥补这些漏洞,不同于以往的方案严重依赖于(并且不切实际地)在虚拟视图中获得高质量的深度图来绘制相应的纹理图,本文提出了一种新的联合纹理-深度绘制(JTDI)算法,同时填充缺失的纹理和深度像素。具体来说,我们首先使用可用的部分深度信息来计算优先级项,以确定dis遮挡孔中的下一个目标像素补丁进行着色。然后,通过模板匹配,在已知像素区域内识别出最匹配的纹理patch进行纹理彩绘后,将相应深度patch的方差复制到目标深度patch中进行深度彩绘。实验结果表明,JTDI优于之前的两种绘制方案,这两种方案要么在绘制过程中不使用可用的深度信息,要么依赖于虚拟视图中可用的良好深度图来获得良好的绘制性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint texture-depth pixel inpainting of disocclusion holes in virtual view synthesis
Transmitting texture and depth maps from one or more reference views enables a user to freely choose virtual viewpoints from which to synthesize images for observation via depth-image-based rendering (DIBR). In each DIBR-synthesized image, however, there remain disocclusion holes with missing pixels corresponding to spatial regions occluded from view in the reference images. To complete these holes, unlike previous schemes that rely heavily (and unrealistically) on the availability of a high-quality depth map in the virtual view for inpainting of the corresponding texture map, in this paper a new Joint Texture-Depth Inpainting (JTDI) algorithm is proposed that simultaneously fill in missing texture and depth pixels. Specifically, we first use available partial depth information to compute priority terms to identify the next target pixel patch in a disocclusion hole for inpainting. Then, after identifying the best-matched texture patch in the known pixel region via template matching for texture inpainting, the variance of the corresponding depth patch is copied to the target depth patch for depth inpainting. Experimental results show that JTDI outperforms two previous inpainting schemes that either does not use available depth information during inpainting, or depends on the availability of a good depth map at the virtual view for good inpainting performance.
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