Stochastic Image Models from SIFT-Like Descriptors

DOI10.1137/18M116592XzbMath1423.62120OpenAlexW4311168365MaRDI QIDQ5230413

Arthur Leclaire, Agnès Desolneux

Publication date: 22 August 2019

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

Full work available at URL: https://doi.org/10.1137/18m116592x

zbMATH Keywords

SIFTmaximum entropy distributionsimage synthesisexponential modelsPoisson editingrandom image modelreconstruction from features

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• ASIFT
• MegaWave
• Vlfeat
• SIFT
• ImageNet
• SURF
• FREAK
• BRISK
• iHOG
• AlexNet
• HOGgles

Cites Work

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• Is SIFT scale invariant?
• Introductory lectures on convex optimization. A basic course.
• The Marr conjecture and uniqueness of wavelet transforms
• When the a contrario approach becomes generative
• Image matching using generalized scale-space interest points
• From Gestalt theory to image analysis. A probabilistic approach.
• ASIFT: A New Framework for Fully Affine Invariant Image Comparison
• Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge
• Computer Vision - ECCV 2004
• Stochastic Image Reconstruction from Local Histograms of Gradient Orientation

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