Temporally consistent layer depth ordering via pixel voting for pseudo 3D representation

Engin Turetken, A. Alatan
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引用次数: 5

Abstract

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.
时间一致的层深度排序通过像素投票伪3D表示
提出了一种基于仿射运动模型的分段运动层深度排序算法。从为输入序列的每一帧独立提取的一组初始层开始,按照从底部到顶部的方法确定每一层的相对深度顺序,从局部成对关系到全局顺序。连续时间瞬间的层集在时间上向两个相反的方向扭曲,以像素投票统计的形式捕获相邻层的成对遮挡关系。通过将成对关系映射到有向无环图,并采用宽度优先的搜索策略解决最长路径问题,估计了层的全局深度顺序。在区域分割阶段和深度排序阶段都强制时间连续性,以实现时间连贯的层支持图和深度顺序关系。实验结果表明,该算法在多运动动态场景下也能取得较好的效果。
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