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Camera calibration and geo-location estimation from two shadow trajectories

机译:根据两个阴影轨迹进行相机校准和地理位置估计

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摘要

The position of a world point's solar shadow depends on its geographical location, the geometrical relationship between the orientation of the sunshine and the ground plane where the shadow casts. This paper investigates the property of solar shadow trajectories on a planar surface and shows that camera parameters, latitude, longitude and shadow casting objects' relative height ratios can be estimated from two observed shadow trajectories. One contribution is to recover the horizon line and metric rectification matrix from four observations of two shadow tips. The other contribution is that we use the design of an analemmatic sundial to get the shadow conic and furthermore recover the camera's geographical location. The proposed method does not require the shadow casting objects or a vertical object to be visible in the recovery of camera calibration. This approach is thoroughly validated on both synthetic and real data, and tested against various sources of errors including noise, number of observations, objects locations, and camera orientations. We also present applications to image-based metrology.
机译:一个世界点的太阳阴影的位置取决于其地理位置,阳光的方向与阴影所投射的地面之间的几何关系。本文研究了平面上太阳阴影轨迹的性质,并表明可以从两个观察到的阴影轨迹估算相机参数,纬度,经度和阴影投射对象的相对高度比。一种贡献是从两个阴影尖端的四个观测值中恢复地平线和度量校正矩阵。另一个贡献是,我们使用了一个模拟日d的设计来获得阴影圆锥形,并进一步恢复了相机的地理位置。所提出的方法不需要在照相机校准的恢复中可见阴影投射对象或垂直对象。此方法已在合成数据和真实数据上进行了充分验证,并针对各种误差源进行了测试,包括噪声,观测值数量,物体位置和摄像机方向。我们还介绍了基于图像的计量学的应用程序。

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