Image matching using generalized scale-space interest points

DOI10.1007/s10851-014-0541-0zbMath1357.94023OpenAlexW2023200581WikidataQ59432040 ScholiaQ59432040MaRDI QIDQ2356513

Tony Lindeberg

Publication date: 30 July 2015

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

Full work available at URL: https://doi.org/10.1007/s10851-014-0541-0

zbMATH Keywords

computer visionmatchingscale invarianceobject recognitionscale spacefeature detectionaffine invariancescale selectioninterest pointscale linking

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (16)

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 ⋮ On canonical parameterizations of 2D-shapes ⋮ Temporal scale selection in time-causal scale space ⋮ Transition scale-spaces: A computational theory for the discretized entorhinal cortex ⋮ Scale-covariant and scale-invariant Gaussian derivative networks ⋮ Scale-covariant and scale-invariant Gaussian derivative networks ⋮ Dense Scale Selection Over Space, Time, and Space-Time ⋮ Indirect Image Registration with Large Diffeomorphic Deformations ⋮ Generalised morphological image diffusion ⋮ Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade ⋮ Stochastic Image Models from SIFT-Like Descriptors ⋮ A novel probabilistic contrast-based complex salient object detection ⋮ Multiscale edge detection using first-order derivative of anisotropic Gaussian kernels ⋮ A unified B-spline framework for scale-invariant keypoint detection

Uses Software

• PCA-SIFT
• SIFT
• SURF
• BRIEF

Cites Work

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