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Automatic photo pop-up

机译:自动弹出照片

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摘要

This paper presents a fully automatic method for creating a 3D model from a single photograph. The model is made up of several texture-mapped planar billboards and has the complexity of a typical children's pop-up book illustration. Our main insight is that instead of attempting to recover precise geometry, we statistically model geometric classes defined by their orientations in the scene. Our algorithm labels regions of the input image into coarse categories: "ground", "sky", and "vertical". These labels are then used to "cut and fold" the image into a pop-up model using a set of simple assumptions. Because of the inherent ambiguity of the problem and the statistical nature of the approach, the algorithm is not expected to work on every image. However, it performs surprisingly well for a wide range of scenes taken from a typical person's photo album.
机译:本文提出了一种从单张照片创建3D模型的全自动方法。该模型由几个纹理映射的平面广告牌组成,具有典型的儿童弹出书插图的复杂性。我们的主要见解是,我们没有试图恢复精确的几何图形,而是对由场景中的方向定义的几何图形进行统计建模。我们的算法将输入图像的区域标记为粗略类别:“地面”,“天空”和“垂直”。然后,使用一组简单的假设,使用这些标签将图像“剪切并折叠”为弹出模型。由于该问题固有的歧义性以及该方法的统计性质,因此该算法无法在所有图像上使用。但是,对于从典型人物的相册拍摄的各种场景,它的表现都出奇地好。

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