Unmanned aerial vehicle image splicing method based on grid optimization and global similarity constraint
An image stitching and gridding technology, which is applied in the field of image processing, can solve problems such as image influence, ghosting, and camera inability to adjust in time, and achieve the effect of precise registration
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[0042] In order to make the purpose, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described below in conjunction with the accompanying drawings.
[0043] Please refer to figure 1 Embodiments of the present invention provide a method for mosaicing UAV images based on grid optimization and global similarity constraints:
[0044] S101: Using the SIFT feature matching extraction algorithm to extract the feature points of the reference image I and the target image I', and performing feature matching to obtain the corresponding relationship between the feature points of the reference image I and the target image I';
[0045]S102: Using the corresponding relationship between the feature points of the reference image I and the target image I', grid the reference image I and the target image I' to obtain a gridded reference image and a gridded target image;
[0046] S103: Solve the local homography matrix ...
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