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首页> 外文期刊>Journal of visual communication & image representation >Interactive object segmentation from multi-view images
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Interactive object segmentation from multi-view images

机译：从多视图图像进行交互式对象分割

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摘要

Despite the great progress on interactive image segmentation, image co-segmentation, 2D and 3D segmentation, there is still no workable solution to the problem: given a set of calibrated or un-calibrated multi-view images (say, more than 40 images), by interactively cutting 3 ~ 4 images, can the foreground object of the rest images be quickly cutout automatically and accurately! In this paper, we propose a non-trivial engineering solution to this problem. Our basic idea is to integrate 3D segmentation with 2D segmentation so as to combine their advantages. Our proposed system iteratively performs 2D and 3D segmentation, where the 3D segmentation results are used to initialize 2D segmentation and ensure the silhouette consistency among different views and the 2D segmentation results are used to provide more accurate cues for the 3D segmentation. The experimental results show that the proposed system is able to generate highly accurate segmentation results, even for some challenging real-world multi-view image sequences, with a small amount of user input.
机译：尽管在交互式图像分割，图像共分割，2D和3D分割方面取得了长足的进步，但仍然没有可行的解决方案：给定一组已校准或未校准的多视图图像（例如40多个图像） ，通过交互式剪切3到4张图像，可以自动，准确地快速剪切出其余图像的前景对象！在本文中，我们针对此问题提出了一个非平凡的工程解决方案。我们的基本思想是将3D分割与2D分割相集成，以结合其优势。我们提出的系统迭代执行2D和3D分割，其中3D分割结果用于初始化2D分割，并确保不同视图之间的轮廓一致性，并且2D分割结果用于为3D分割提供更准确的提示。实验结果表明，即使对于一些挑战性的现实世界多视图图像序列，使用少量用户输入，所提出的系统也能够生成高度准确的分割结果。

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