从多视图视频中生成分层深度图像

Xiaoyu Cheng, Lifeng Sun, Shiqiang Yang
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引用次数: 21

摘要

分层深度图像(LDI)的任意视图渲染特性使其适合于呈现多视图视频数据,并提供自由视图视频(FVV)等交互形式。然而,呈现结果中出现的视觉伪影限制了LDI的实用性。本文提出了一种在LDI生成过程中解决该问题的方法,通过选择合适的候选深度像素来细化深度像素的颜色,通过将LDI向后投影到参考视图来消除消光效应,通过局部背景插值来消除由于咬合和欠采样而产生的间隙或空洞。实验结果表明,该方法是有效可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generation of Layered Depth Images from Multi-View Video
The feature of rendering arbitrary view make layered depth image (LDI) be suitable to present multi-view video data and provide interactivity form such as free view video(FVV). However, visual artifacts occurred in the rendered result limit the practicality of LDI. In this paper, we proposed an approach to deal with this problem during generating of LDI, which refines colors of the depth pixels by choosing proper candidate depth pixels, removes matting effects by projecting LDI backward to reference views, and eliminate the gaps or holes due to disocclusion and undersample by local background interpolation. Experimental results show that our approach is practicable and efficient.
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