Dense Scale Selection Over Space, Time, and Space-Time

DOI10.1137/17M114892XzbMath1401.65024arXiv1709.08603OpenAlexW2759884961MaRDI QIDQ4686922

Tony Lindeberg

Publication date: 10 October 2018

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.08603

zbMATH Keywords

spatialcomputer visionscale invarianceimage analysisscale spacedifferential invariantspatio-temporaltemporalfeature detectionscalevideo analysisscale selection

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Computational issues in computer and robotic vision (65D19)

Related Items (4)

A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time ⋮ Scale-covariant and scale-invariant Gaussian derivative networks ⋮ Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields ⋮ Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade

Uses Software

• DynTex
• SIFT
• SURF

Cites Work

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• Saliency, scale and image description

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