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Spatio-temporal Consistency in Stereoscopic Video Depth Map Sequence Estimation

机译:立体视频深度图序列估计中的时空一致性

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摘要

To solve the flickering artifacts caused by temporal inconsistency and smooth inaccuracy caused by spatial inconsistency in stereoscopic video depth map sequence estimation, the proposed algorithm takes into account the temporal and spatial factors when using the graph cut based on epipolar rectification. In temporal domain, the penalty function with coherence factor is introduced for temporal consistency and the factor is determined by similarity constraint on the basis of Lucas-Kanade Optical Flow Weighted Histogram. In spatial domain, the Joint Bilateral Truncated Absolute Difference is proposed for segmentation smooth which will smooth naturally and uniformly in low-gradient region and avoid over-smoothing as well as keep edge sharpness in high-gradient discontinuities to realize spatial consistency. The experimental results show that the algorithm can effectively solve the flickering artifacts and smooth inaccuracy to obtain better spatio-temporal consistent depth map sequence.
机译:为了解决立体视频深度图序列估计中由时间不一致引起的闪烁伪影和由空间不一致引起的平滑误差,该算法在使用基于对极整流的图割时考虑了时间和空间因素。在时域中,引入具有相干因子的罚函数以实现时间一致性,并基于Lucas-Kanade光流加权直方图,由相似性约束确定因子。在空间领域,提出了联合双边截断绝对差用于分割平滑,它将在低梯度区域自然且均匀地平滑,避免过度平滑,并在高梯度不连续处保持边缘清晰度,以实现空间一致性。实验结果表明,该算法可以有效地解决闪烁的伪影和平滑误差,获得较好的时空一致深度图序列。

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