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About conditions for recovering the metric structures of perpendicular planes from the single ground plane to image homography

机译:关于从单个接地平面恢复垂直平面的度量结构的条件

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The absolute conic is the key for recovering the Euclidean structure in 3D space. The image of the absolute conic can be parametrized by the set of three vanishing points corresponding to orthogonal directions in space with two independent additional factors. Whereas a single plane to image homography only allows the image to inherit two vanishing points and one of these factors, we describe a method which recovers the metric structures of any perpendicular plane to the ground from the ground to image homography matrix. Indeed, under the assumption of a natural camera, we demonstrate that the third vanishing point lies on a line that we call central line. A direct solution is found with an additional constraint relevant to the application we deal with: a "pseudo-parallelism" between one of the camera axis and the ground plane. Direct applications on video MPEG-encoded images are presented in the experiment section showing a very satisfactory accuracy.
机译:绝对圆锥是在3D空间中恢复欧几里德结构的关键。绝对圆锥的图像可以通过与具有两个独立额外因素的空间中的正交方向对应的三个消失点组参数化。而单个飞机到图像配备的单个平面仅允许图像继承两个消失点和其中一个因素,我们描述了一种从地面到图像同住矩阵到图像的方法将任何垂直平面的度量结构恢复到地面。实际上,在天然相机的假设下,我们证明了第三个消失点位于我们呼叫中央线的一条线上。找到直接解决方案,其中与我们处理的应用程序相关的额外约束:一个相机轴和地面平面之间的“伪并行性”。在实验部分中显示了视频MPEG编码图像的直接应用,示出了非常令人满意的精度。

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