An improved cubic projection correction algorithm for panoramic images

Traditionally, the correction of panoramic images has been achieved through sundial projection or cubic projection. However, these methods have not adequately addressed the issues of overlap and fixed pose relationships in the corrected images. To address this, we propose an enhanced algorithm for correcting panoramic images using cubic projection. The transformation process involves mapping the spherical panoramic image onto a cube that is tangent to the panoramic sphere, with the cube's side length exceeding the diameter of the sphere. For the re-projection correction experiments, we selected five sets of panoramic images and compared feature extraction and matching using the SuperPoint, SuperGlue, and R2D2 algorithms. The experimental results demonstrate that our proposed method outperforms existing methods in terms of image re-projection, showing significant enhancements in image overlap, accuracy, and the number of feature matches.