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Graph-based multiview depth estimation using segmentation

机译:使用分割的基于图的多视图深度估计

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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:本文提出了一种新的深度估计方法,用于具有任意摄像机位置的多视图系统。该方法利用了图割法,其中图的顶点表示用于控制深度图的质量和估计时间之间的折衷的段,同时保留深度图的原始分辨率。此外,深度图的视图间一致性(对于自由视点电视系统至关重要)是通过在优化的图形中引入合适的连接来确保的。它使提出的方法成为第一个允许使用基于分段的估计来生成空间一致的多视图深度图的方法。还提出了一种自适应计算平滑系数的新方法。测试了所提出算法的性能,并与最新的DERS方法进行了比较,在深度图保真度和估计时间方面均显示出显着改进。

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