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Automatic facades segmentation using detected lines and vanishing points

机译:使用检测到的线条和消失点进行自动立面分割

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Segmenting facades from buildings is important to a variety of vision applications operating in outdoor urban environments which include image-based modeling, landmark recognition, autonomous navigation and urban scene understanding. Existing method based on Structure-from-Motion relies on multiple images, and the cost of computation is high, while another method based on prior knowledge about arbitrarily shaped repetitive regions cannot handle non-repetitive facades segmentation. In order to segment facades simply, fast and accurately, we propose an automatic algorithm for facade segmentation, which segments building to a set of separate facades. By first detecting line segments and corresponding vanishing points from a single image, then rectifying the image to make the vertical direction be parallel to y-direction of the image, we convert the facade-segmentation problem to a simple 1D segmentation. The experiment results show that our method is accurate, robust and efficient to facades segmentation problem.
机译:从建筑物中分割出立面对于在室外城市环境中运行的各种视觉应用很重要,这些应用包括基于图像的建模,地标识别,自主导航和城市场景理解。现有的基于运动结构的方法依赖于多幅图像,并且计算成本很高,而基于先验知识的任意形状的重复区域的另一种方法则无法处理非重复性的立面分割。为了简单,快速,准确地对立面进行分割,我们提出了一种用于立面分割的自动算法,该算法将建筑物分割成一组单独的立面。通过首先从单个图像中检测线段和相应的消失点,然后对图像进行校正以使垂直方向与图像的y方向平行,我们将立面分割问题转换为简单的一维分割。实验结果表明,该方法对墙体分割问题是准确,鲁棒和有效的。

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