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GPS coordinates estimation and camera calibration from solar shadows

机译:GPS坐标估计和太阳阴影对摄像机的校准

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In this paper, we discuss the issue of camera parameter estimation (intrinsic and extrinsic parameters), along with estimation of the geo-location of the camera by using only the shadow trajectories. By observing stationary objects over a period of time, it is shown that only six points on the trajectories formed by tracking the shadows of the objects are sufficient to estimate the horizon line of the ground plane. This line is used along with the extracted vertical vanishing point to calibrate the stationary camera. The method requires as few as two shadow casting objects in the scene and a set of six or more points on the shadow trajectories of these objects. Once camera intrinsic parameters are recovered, we present a novel application where one can accurately determine the geo-location of the camera up to a longitude ambiguity using only three points from these shadow trajectories without using any GPS or other special instruments. We consider possible cases where this ambiguity can also be removed if additional information is available. Our method does not require any knowledge of the date or the time when the images are taken, and recovers the date of acquisition directly from the images. We demonstrate the accuracy of our technique for both steps of calibration and geo-temporal localization using synthetic and real data.
机译:在本文中,我们讨论了摄像头参数估计(内部和外部参数)的问题,以及仅通过阴影轨迹来估计摄像头地理位置的问题。通过观察一段时间内的静止物体,可以看出,通过跟踪物体的阴影形成的轨迹上只有六个点足以估计地平面的水平线。该线与提取的垂直消失点一起使用以校准固定摄像机。该方法在场景中需要最少两个阴影投射对象,并且在这些对象的阴影轨迹上需要六个或更多点的集合。一旦恢复了相机的固有参数,我们便提出了一种新颖的应用程序,在该应用程序中,仅使用这些阴影轨迹中的三个点就可以准确地确定相机的地理位置,直至经度模糊,而无需使用任何GPS或其他特殊仪器。我们考虑了可能的情况,如果有更多信息,也可以消除这种歧义。我们的方法不需要任何有关拍摄图像的日期或时间的知识,而是直接从图像中恢复采集日期。我们证明了使用合成和真实数据进行校准和地理时域定位这两个步骤的技术准确性。

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