Paper
21 June 2024 An improved cubic projection correction algorithm for panoramic images
Mingbo Hou, Yang Zhou, Xiaofei Hu, Wenjian Gan, Luying Zhao, Gaoshuang Huang, Chenglong Zhang
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316729 (2024) https://doi.org/10.1117/12.3029830
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Mingbo Hou, Yang Zhou, Xiaofei Hu, Wenjian Gan, Luying Zhao, Gaoshuang Huang, and Chenglong Zhang "An improved cubic projection correction algorithm for panoramic images", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316729 (21 June 2024); https://doi.org/10.1117/12.3029830
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KEYWORDS
Panoramic photography

Optical spheres

Spherical lenses

Feature extraction

Distortion

Image processing

Imaging systems

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