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Found 5 papers, 0 papers with code
Cortical-inspired image reconstruction via sub-Riemannian geometry and hypoelliptic diffusion
In this paper we review several algorithms for image inpainting based on the hypoelliptic diffusion naturally associated with a mathematical model of the primary visual cortex.
A semidiscrete version of the Citti-Petitot-Sarti model as a plausible model for anthropomorphic image reconstruction and pattern recognition
Here, we propose a semi-discrete version of this theory, leading to a left-invariant structure over the group $SE(2, N)$, restricting to a finite number of rotations.
Generalized Fourier-Bessel operator and almost-periodic interpolation and approximation
We consider functions $f$ of two real variables, given as trigonometric functions over a finite set $F$ of frequencies.
Fourier descriptors based on the structure of the human primary visual cortex with applications to object recognition
In this paper we propose a supervised object recognition method using new global features and inspired by the model of the human primary visual cortex V1 as the semidiscrete roto-translation group $SE(2, N) = \mathbb Z_N\rtimes \mathbb R^2$.
Highly corrupted image inpainting through hypoelliptic diffusion
We present a new image inpainting algorithm, the Averaging and Hypoelliptic Evolution (AHE) algorithm, inspired by the one presented in [SIAM J.
