With the development of unmanned aerial vehicle (UAV) techniques, UAV images are becoming more widely used. However, as an essential step of UAV image application, the computation of stitching remains time intensive, especially for emergency applications. Addressing this issue, we propose a novel approach to use the position and pose information of UAV images to speed up the process of image stitching, called FUIS (fast UAV image stitching). This stitches images by feature points. However, unlike traditional approaches, our approach rapidly finds several anchor-matches instead of a lot of feature matches to stitch the image. Firstly, from a large number of feature points, we design a method to select a small number of them that are more helpful for stitching as anchor points. Then, a method is proposed to more quickly and accurately match these anchor points, using position and pose information. Experiments show that our method significantly reduces the time consumption compared with the-state-of-art approaches with accuracy guaranteed.

中文翻译：

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使用位置和姿势信息进行紧急无人机图像拼接的快速锚点匹配。

随着无人飞行器（UAV）技术的发展，UAV图像变得越来越广泛。然而，作为无人机图像应用的必要步骤，缝合的计算仍然是时间密集的，特别是对于紧急应用。为了解决这个问题，我们提出了一种新颖的方法来使用无人机图像的位置和姿态信息来加快图像拼接的过程，称为FUIS（快速无人机图像拼接）。这将按特征点缝合图像。但是，与传统方法不同，我们的方法可以快速找到几个锚点匹配，而不是很多特征匹配来缝合图像。首先，从大量的特征点中，设计一种方法来选择少量的特征点，这些特征点对于拼接更有利于作为锚点。然后，提出了一种使用位置和姿势信息来更快，更准确地匹配这些锚点的方法。实验表明，与最新方法相比，我们的方法可显着减少时间消耗，并保证了准确性。