Scale selection properties of generalized scale-space interest point detectors

DOI10.1007/s10851-012-0378-3zbMath1312.68202OpenAlexW2162819370WikidataQ29027449 ScholiaQ29027449MaRDI QIDQ2513387

Tony Lindeberg

Publication date: 28 January 2015

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-012-0378-3

zbMATH Keywords

computer visionscale invariancecorner detectionaffine transformationdifferential invariantfeature detectionscale-spacedeep structureGaussian derivativescale selectionmulti-scale representationscale calibrationinterest pointblob detectionscale linkingfeature trajectory

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Related Items (11)

Time-causal and time-recursive spatio-temporal receptive fields ⋮ Spatio-temporal scale selection in video data ⋮ Scale-invariant scale-channel networks: deep networks that generalise to previously unseen scales ⋮ Temporal scale selection in time-causal scale space ⋮ Point Integral Method for Solving Poisson-Type Equations on Manifolds from Point Clouds with Convergence Guarantees ⋮ Curvature and Flow in Digital Space ⋮ Dense Scale Selection Over Space, Time, and Space-Time ⋮ A computational theory of visual receptive fields ⋮ Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels ⋮ Image matching using generalized scale-space interest points ⋮ A unified B-spline framework for scale-invariant keypoint detection

Uses Software

• SIFT
• SURF

Cites Work

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• Model-Based Detection of Tubular Structures in 3D Images
• Scale Space and PDE Methods in Computer Vision
• Saliency, scale and image description

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