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首页> 外文期刊>Journal of visual communication & image representation >Virtual view synthesis using layered depth image generation and depth-based inpainting for filling disocclusions and translucent disocclusions
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Virtual view synthesis using layered depth image generation and depth-based inpainting for filling disocclusions and translucent disocclusions

机译：使用分层深度图像生成和基于深度的修补来填充虚拟遮挡和半透明遮挡的虚拟视图合成

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摘要

View synthesis is an efficient solution to produce content for 3DTV and FTV. However, proper handling of the disocclusions is a major challenge in the view synthesis. Inpainting methods offer solutions for handling disocclusions, though limitations in foreground-background classification causes the holes to be filled with inconsistent textures. Moreover, the state-of-the art methods fail to identify and fill disocclusions in intermediate distances between foreground and background through which background may be visible in the virtual view (translucent disocclusions). Aiming at improved rendering quality, we introduce a layered depth image (LDI) in the original camera view, in which we identify and fill occluded background so that when the LDI data is rendered to a virtual view, no disocclusions appear but views with consistent data are produced also handling translucent disocclusions. Moreover, the proposed foreground-background classification and inpainting fills the disocclusions with neighboring background texture consistently. Based on the objective and subjective evaluations, the proposed method outperforms the state-of-the art methods at the disocclusions. (C) 2016 Elsevier Inc. All rights reserved.
机译：视图合成是一种为3DTV和FTV生成内容的有效解决方案。但是，正确处理散焦是视图合成中的主要挑战。修复方法提供了解决遮挡的解决方案，尽管前景背景分类的局限性导致孔填充了不一致的纹理。此外，现有技术的方法不能识别和填充前景与背景之间的中间距离中的遮挡物，通过该中间距离，背景可以在虚拟视图中可见（半透明遮挡物）。为了提高渲染质量，我们在原始摄影机视图中引入了分层深度图像（LDI），在其中我们识别并填充了被遮挡的背景，以便在将LDI数据渲染到虚拟视图时，不会出现遮挡现象，但是具有一致数据的视图生产的产品还可以处理半透明的遮盖物。此外，提出的前景-背景分类和修复方法始终将相邻的背景纹理填充到遮挡中。在客观和主观评估的基础上，所提出的方法在消除干扰方面优于最新技术。 （C）2016 Elsevier Inc.保留所有权利。

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