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Removing Foreground Objects by Using Depth Information from Multi-View Images

机译:通过使用多视图图像的深度信息来删除前景对象

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In this paper, we present a novel method for removing foreground objects in multi-view images. Unlike the conventional methods, which locate the foreground objects interactive way, we intend to develop an automated system. The proposed algorithm consists of two modules: 1) object detection and removal, and 2) detected foreground filling stage. The depth information of multi-view images is a critical cue adopted in this algorithm. By multi-view images, it is not meant a multi-camera equipped system. We use only one digital camera and take photos by hand. Although it may cause bad matching result, it is sufficient to detect and remove the foreground object by using coarse depth information. The experimental results indicate that the proposed algorithm provides an effective tool, which can be used in applications for digital camera, photo-realistic scene generation, digital cinema and so on.
机译:在本文中,我们提出了一种用于在多视图图像中删除前景对象的新方法。与定位前景对象交互式方式的传统方法不同,我们打算开发自动化系统。所提出的算法由两个模块组成:1)对象检测和移除,2)检测到的前景填充阶段。多视图图像的深度信息是本算法中采用的关键彩色。通过多视图图像,并不意味着配备多相机的系统。我们只使用一个数码相机并用手拍照。虽然它可能导致匹配结果不良,但是通过使用粗略深度信息来检测和移除前景对象足以。实验结果表明,该算法提供了一种有效的工具,可用于数码相机的应用,照片 - 现实场景生成,数字电影等。

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