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首页> 外文会议>3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009 >Temporally consistent layer depth ordering via pixel voting for pseudo 3D representation
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Temporally consistent layer depth ordering via pixel voting for pseudo 3D representation

机译：通过像素投票对伪3D表示进行时间一致的层深度排序

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摘要

A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of every layer is determined following a bottom-to-top approach from local pair-wise relations to a global ordering. Layer sets of consecutive time instants are warped in two opposite directions in time to capture pair-wise occlusion relations of neighboring layers in the form of pixel voting statistics. Global depth order of layers is estimated by mapping the pair-wise relations to a directed acyclic graph and solving the longest path problem via a breadth-first search strategy. Temporal continuity is enforced both at the region segmentation and depth ordering stages to achieve temporally coherent layer support maps and depth order relations. Experimental results show that the proposed algorithm yields quite promising results even on dynamic scenes with multiple motions.
机译：基于仿射运动模型的分割运动层，提出了一种基于区域的深度排序算法。从为输入序列的每个帧独立提取的一组初始层开始，按照从局部成对关系到全局排序的自上而下的方法，确定每个层的相对深度顺序。连续时间点的图层组在时间上沿两个相反的方向扭曲，以像素投票统计的形式捕获相邻图层的成对遮挡关系。通过将成对关系映射到有向无环图并通过广度优先搜索策略解决最长路径问题，可以估算层的全局深度顺序。在区域分割和深度排序阶段都强制执行时间连续性，以实现时间上连贯的图层支持图和深度顺序关系。实验结果表明，所提出的算法即使在具有多个动作的动态场景下也能取得很好的效果。

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