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Automatic Foreground-Background Segmentation Based on Depth from Coded Aperture

机译:基于编码孔径深度的自动前景背景分割

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Foreground-background segmentation is an important problem in computer vision, and it has many applications. We propose a technique of Automatic foreground-background segmentation based on depth from coded aperture. This method first calculates a coarse depth map using technique of coded aperture depth extraction, then estimate the general area of foreground. At last, in order to get the foreground, we use the GrabCut algorithm to segment the image. The entire progress is fully automatic, without any manual intervention. Experiments have proved its effectiveness. And we also did some simple examples for application.
机译:前景背景分割是计算机视觉中的重要问题,它具有许多应用。我们提出了一种基于来自编码孔径的深度的自动前景-背景分割技术。该方法首先使用编码孔径深度提取技术计算粗略深度图,然后估计前景的总体面积。最后,为了获得前景,我们使用GrabCut算法对图像进行分割。整个过程是全自动的,无需任何人工干预。实验证明了它的有效性。我们还做了一些简单的应用示例。

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