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Non-uniform sampling of plenoptic signal based on the scene complexity variations for a free viewpoint video system

机译:自由视点视频系统基于场景复杂度变化的全光信号非均匀采样

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摘要

Acquisition of a free viewpoint video (FVV) system is theoretically considered as a problem of plenoptic signal sampling. It is typically performed by using a regular camera grid. While a regular acquisition itself results in non-uniform sampling density, this non-uniformity does not match the scene complexity and frequency variations. This paper proposes an irregular acquisition method for optimum non-uniform plenoptic sampling corresponding to the variations of the scene complexity. Specifically, scene complexity is measured through analyzing DCT coefficients of reference images of the scene, describing the frequency behavior of the plenoptic signal over the scene space. An optimization model is formulated to calculate the optimum configurations of the acquisition cameras including positions and orientations. The theoretical analysis and numerical simulations demonstrate that the rendered video quality can be significantly improved (around 40% in mean PSNR) by employing the proposed irregular acquisition compared with the regular camera grid.
机译:从理论上讲,获取自由视点视频(FVV)系统是全光信号采样的问题。它通常是通过使用常规的相机网格来执行的。虽然常规采集本身会导致采样密度不一致,但这种不一致与场景复杂度和频率变化不匹配。针对场景复杂度的变化,本文提出了一种不规则采集方法,用于最优的非均匀全光采样。具体而言,通过分析场景参考图像的DCT系数来测量场景复杂度,描述在场景空间上全光信号的频率行为。制定了一个优化模型来计算采集相机的最​​佳配置,包括位置和方向。理论分析和数值模拟表明,与常规摄像机网格相比,通过采用建议的不规则采集,可以显着提高渲染的视频质量(平均PSNR约为40%)。

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