Improved multi-view depth estimation for view synthesis in 3D video coding

Qiuwen Zhang, P. An, Yan Zhang, Liquan Shen, Zhaoyang Zhang
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引用次数: 2

Abstract

Multi-view depth estimation is an important part in the virtual view synthesis and depth map coding within the 3DV/FTV applications. However, existing depth estimation methods generally have difficulty to generate good depth results around object edges or in areas with less texture. To solve this problem, we propose an improved algorithm to obtain a smooth and accurate depth map for view synthesis in 3D video coding. The proposed method aims to preserve details in the depth map and simultaneously smooth depths in object boundary occluded area, less texture and discontinuity regions, to avoid blurring in the synthesized views. Experimental results show a significant improvement of the initial input depth maps and coding efficiency, as well as a reduction of view synthesis artifacts.
改进的多视点深度估计,用于3D视频编码中的视点合成
在3DV/FTV应用中,多视点深度估计是虚拟视点合成和深度图编码的重要组成部分。然而,现有的深度估计方法通常难以在物体边缘或纹理较少的区域产生良好的深度结果。为了解决这个问题,我们提出了一种改进的算法,以获得平滑准确的深度图,用于3D视频编码中的视图合成。该方法旨在保留深度图中的细节,同时平滑目标边界遮挡区域的深度,减少纹理和不连续区域,避免合成视图模糊。实验结果表明,该方法显著提高了初始输入深度图和编码效率,减少了视图合成伪影。
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