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Graph-based multiview depth estimation using segmentation

机译:基于图形的多视图深度估计使用分段

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This paper presents a new depth estimation method for multiview systems with arbitrary camera locations. The method exploits the graph cuts method, where vertices of the graph represent segments used for controlling the trade-off between the quality of depth maps and the time of estimation, while preserving the original resolution of a depth map. Moreover, the inter-view consistency of the depth maps, crucial for free-viewpoint television systems, is ensured by introduction of suitable connections in the optimized graph. It makes the proposed method the first that allows generation of spatially-consistent multiview depth maps using segmentation-based estimation. A new method of the adaptive calculation of the smoothing coefficient was also presented. The performance of the proposed algorithm was tested and compared with the state-of-the-art DERS method, showing an significant improvement, both in terms of the depth maps fidelity and the time of estimation.
机译:本文介绍了具有任意摄像机位置的多视图系统的新深度估计方法。该方法利用图表切割方法,其中曲线图的顶点表示用于控制深度映射质量与估计时间之间的权衡的段,同时保留深度图的原始分辨率。此外,通过在优化的图表中引入合适的连接,确保了深度图的视图对自由观点电视系统至关重要的一致性。它使得提出的方法首先允许使用基于分段的估计来产生空间 - 一致的多视图深度图。还提出了一种新的平滑系数计算方法。测试了所提出的算法的性能,并与最先进的DER方法进行了比较,显示出显着改进,两者都在深度图保真度和估计时间方面。

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