Large disparity image stitching technique based on improved RANSAC and NISwGSP algorithms

Qin Li; Bizhong Huang; Guangrong Huang; Yimiao Li; Hao Chen; Guang Liang; Xuetai Chen; Qianhui Zhong; Mingdong Ke; Dingbing Xie

doi:10.1117/12.3041280

11 September 2024 Large disparity image stitching technique based on improved RANSAC and NISwGSP algorithms

Qin Li, Bizhong Huang, Guangrong Huang, Yimiao Li, Hao Chen, Guang Liang, Xuetai Chen, Qianhui Zhong, Mingdong Ke, Dingbing Xie

Author Affiliations +

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530J (2024) https://doi.org/10.1117/12.3041280
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

Based on traditional image stitching technique, improved RANSAC and NISwGSP algorithms are proposed, which both boosted the number of matched points and significantly improved the algorithm efficiency. The operations include using secondary matching based on grid partitioning for feature points, optimizing the algorithm through multi-threaded concurrency and optimizing parameters to reduce computational complexity. Finally after incorporating the seam estimation strategy, the ghosting phenomenon in large-disparity image stitching has been alleviated.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qin Li, Bizhong Huang, Guangrong Huang, Yimiao Li, Hao Chen, Guang Liang, Xuetai Chen, Qianhui Zhong, Mingdong Ke, and Dingbing Xie "Large disparity image stitching technique based on improved RANSAC and NISwGSP algorithms", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530J (11 September 2024); https://doi.org/10.1117/12.3041280

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KEYWORDS

Matrices

Image segmentation

Detection and tracking algorithms

Deformation

Lithium

Mathematical optimization

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