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Orientation of Image Sequences Acquired from UAVs and with GPS Cameras

机译:从无人机和GPS摄像机获取的图像序列的方向

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摘要

This paper presents an approach for automatically orienting images taken with different cameras from unknown positions. Specifically, we show that we can relatively orient wide-baseline images taken from the ground as well as from lightweight (micro) unmanned aerial vehicles (UAVs) of about 1 kg overall weight. The ground images were collected using a consumer GPS camera which allows us to upgrade relatively oriented 3D models to absolute orientation. Automatic relative orientation based on points as well as absolute orientation with consumer GPS cameras both suffer from possibly extreme outliers. We tackle this challenge by combining consensus-based filtering with robust adjustment. Results obtained with the developed procedure demonstrate the potential of our approach.
机译:本文提出了一种自动定位从未知位置使用不同相机拍摄的图像的方法。具体而言,我们表明,我们可以相对定向从地面以及总重量约为1千克的轻型(微型)无人驾驶飞机(UAV)拍摄的宽基线图像。地面图像是使用消费类GPS摄像机收集的,这使我们能够将相对定向的3D模型升级为绝对定向。基于点的自动相对方向以及消费类GPS摄像机的绝对方向都可能会出现极端异常。我们通过将基于共识的过滤与强大的调整相结合来应对这一挑战。通过开发的程序获得的结果证明了我们方法的潜力。

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