A geometric model of multi-scale orientation preference maps via Gabor functions

DOI10.1007/s10851-018-0803-3zbMath1437.94006arXiv1712.04329OpenAlexW2775544063MaRDI QIDQ1799541

Alessandro Sarti, Giovanna Citti, Emre Baspinar

Publication date: 19 October 2018

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

Full work available at URL: https://arxiv.org/abs/1712.04329

zbMATH Keywords

differential geometryorientation mapsGabor functionsBargmann transformneurogeometry

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Applications of differential geometry to physics (53Z05)

Related Items (6)

PDE-based group equivariant convolutional neural networks ⋮ Analysis of (sub-)Riemannian PDE-G-CNNs ⋮ Total variation and mean curvature PDEs on the homogeneous space of positions and orientations ⋮ A sub-Riemannian model of the visual cortex with frequency and phase ⋮ On the potential role of lateral connectivity in retinal anticipation ⋮ New type of Gegenbauer-Hermite monogenic polynomials and associated Clifford wavelets

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