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Accurate multi-view depth reconstruction with occlusions handling

机译:具有遮挡处理的精确多视图深度重建

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We present an offline method for stereo matching using a large number of views. Our method is based on occlusions detection. It is composed of two steps, one global and one local. In the first step we formulate an energy function that handles data, occlusions, and smooth terms through a global graph-cuts optimization. In our second step we introduce a local cost that handles occlusions from the first step in order to refine the result. This cost takes advantage of both the multi-view aspect and the occlusions. The experimental results show how our algorithm joins the advantages of both global and local methods, and how much it is accurate on boundaries detection and on details.
机译:我们提出了一种使用大量视图进行立体声匹配的离线方法。我们的方法基于遮挡检测。它由两步组成,一是全局,一是局部。在第一步中,我们制定了一个能量函数,该函数通过全局图切割优化来处理数据,遮挡和平滑项。在第二步中,我们引入了处理第一步中的遮挡的局部成本,以优化结果。此成本利用了多视图方面和遮挡的优势。实验结果表明,我们的算法如何结合全局和局部方法的优点,以及在边界检测和细节上有多准确。

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