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Depth and Residual Images Based Rendering

机译：基于深度和残差图像的渲染

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摘要

This paper proposes a novel representation method which is called Depth and residual images based representation (DRIBR) for virtual image rendering in 3D video. The proposed DRIBR is composed of three parts: a single view image from one particular viewpoint, its corresponding depth map as well as a residual image. The residual image is pre-calculated from the combination of the above two components plus an image taken from the other viewpoint. The proposed DRIBR achieves low data redundancy, and resolves the occlusion problem which is one of the most annoying artifacts during the rendering of virtual image in traditional Depth image based rendering (DIBR). This paper addresses details of DRIBR and virtual image rendering algorithms based on the proposed format. We test the DRIBR on various stereo datasets and the experimental results demonstrate that our method can achieve better performance on both subjective and objective quality assessment.
机译：本文提出了一种新颖的表示方法，称为基于深度和残差图像的表示（DRIBR），用于3D视频中的虚拟图像渲染。提出的DRIBR由三部分组成：一个特定视点的单视图图像，其相应的深度图以及残差图像。根据上述两个分量的组合加上从另一个视点拍摄的图像，可以预先计算出残留图像。所提出的DRIBR实现了低数据冗余，并且解决了遮挡问题，该遮挡问题是在传统的基于深度图像的渲染（DIBR）中的虚拟图像的渲染期间最令人讨厌的伪像之一。本文讨论了基于建议格式的DRIBR和虚拟图像渲染算法的详细信息。我们在各种立体数据集上测试了DRIBR，实验结果表明，我们的方法可以在主观和客观质量评估上取得更好的性能。

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