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In view of the current narrow field of view and low resolution of infrared images, the SIFT and SUFT algorithms have a long time to stitch images, a real-time infrared large field of view stitching algorithm based on Oriented FAST and Rotated BRIEF (ORB) is proposed. The algorithm makes full use of the priori information of the positional relationship between images, and adopts a matching algorithm based on a two-way matching strategy that is universal for infrared images in a variety of application scenarios, and finally introduces an adaptive weighted fusion algorithm that fades in and out. On the basis of ensuring the quality of image stitching, improving the running speed of the algorithm can realize fast and accurate stitching of infrared images with a large field of view. The experimental results show that under the same level of matching rate, the algorithm in this article has obvious advantages in terms of speed.
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