Improved NBB cross-domain image matching algorithm based on SuperGlue

Ruolan Tang

doi:10.1117/12.3008029

14 November 2023 Improved NBB cross-domain image matching algorithm based on SuperGlue

Ruolan Tang

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 1293413 (2023) https://doi.org/10.1117/12.3008029
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

Neural Best Buddies (NBB) has been proposed to tackle the challenge of identifying semantically related features or geometrically similar parts between pairs of images that exhibit substantial variations in appearance and semantic categories. However, NBB does not have good robustness when facing rotating scenes. To address this limitation, we integrate SuperGlue, a matcher that can successfully match image pairs with significant rotation differences in the same scene, into the nearest neighbor finding process of NBB. This integration enables our improved NBB algorithm has better rotational robustness in cross-domain image matching. Experimental results demonstrate that our approach outperforms NBB.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ruolan Tang "Improved NBB cross-domain image matching algorithm based on SuperGlue", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 1293413 (14 November 2023); https://doi.org/10.1117/12.3008029

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