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A New Vanishing Point Detection Algorithm Based on Hough Transform

机译:基于霍夫变换的消失点检测新算法

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Detecting vanishing points in digital image is important for 3D reconstruction of a scene using no calibrated cameras. A new vanishing point detection algorithm based on twice Hough Transform was presented in this paper. Hough Transform has been recognized as one more popular method for the detection of straight lines. Firstly, the straight lines that in the image are detected by first Hough Transform. Secondly, using a coordinate transform, points in a circle were translated to points in a line. Finally, for detection of the line, Hough Transform was used again. Thus, the positions of vanishing points can be calculated by corresponding to the line parameters in pole coordinate. Experimental results using real images of a scene demonstrate that the proposed algorithm is effective and can acquire the vanishing point.
机译:在不使用校准相机的情况下,检测数字图像中的消失点对于场景的3D重建非常重要。提出了一种基于两次霍夫变换的消失点检测新算法。霍夫变换已被认为是检测直线的另一种流行方法。首先,通过第一霍夫变换来检测图像中的直线。其次,使用坐标变换,将圆中的点转换为直线中的点。最后,为了检测线,再次使用了霍夫变换。因此,可以通过对应于极坐标中的线参数来计算消失点的位置。使用场景真实图像的实验结果表明,该算法是有效的,并且可以获取消失点。

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