A unified B-spline framework for scale-invariant keypoint detection

DOI10.1007/s11263-021-01568-3zbMath1491.68251OpenAlexW4210688740MaRDI QIDQ2118432

Qi Zheng, Mingming Gong, Dacheng Tao, Xinge You

Publication date: 22 March 2022

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-021-01568-3

zbMATH Keywords

B-splinesscale invariancescale spaceimage filteringkeypoint detection

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Uses Software

• SIFT
• SURF
• BRISK
• HPatches
• LF-Net
• SuperPoint
• R2D2
• D2-Net

Cites Work

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• Scale selection properties of generalized scale-space interest point detectors
• Uniqueness of the Gaussian Kernel for Scale-Space Filtering
• On the asymptotic convergence of B-spline wavelets to Gabor functions
• B-spline signal processing. I. Theory
• Spatially Variant Convolution With Scaled B-Splines
• Fast Space-Variant Elliptical Filtering Using Box Splines
• Performance Comparisons of Contour-Based Corner Detectors
• Saliency, scale and image description

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