Orientation selectivity properties for the affine Gaussian derivative and the affine Gabor models for visual receptive fields
Tony Lindeberg

TL;DR
This paper provides a mathematical analysis of orientation selectivity in visual receptive fields modeled by affine Gaussian derivatives and Gabor functions, revealing how selectivity narrows with scale and derivative order.
Contribution
It offers the first detailed theoretical expressions for orientation selectivity in affine Gaussian derivative and Gabor models across various spatio-temporal configurations.
Findings
Orientation selectivity narrows with increasing scale ratio .
Higher order spatial derivatives lead to more narrow orientation selectivity.
Results are consistent between affine Gaussian derivative and Gabor models.
Abstract
This paper presents a theoretical analysis of the orientation selectivity of simple and complex cells that can be well modelled by the generalized Gaussian derivative model for visual receptive fields, with the purely spatial component of the receptive fields determined by oriented affine Gaussian derivatives for different orders of spatial differentiation. A detailed mathematical analysis is presented for the three different cases of either: (i) purely spatial receptive fields, (ii) space-time separable spatio-temporal receptive fields and (iii) velocity-adapted spatio-temporal receptive fields. Closed-form theoretical expressions for the orientation selectivity curves for idealized models of simple and complex cells are derived for all these main cases, and it is shown that the orientation selectivity of the receptive fields becomes more narrow, as a scale parameter ratio ,…
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Taxonomy
TopicsVisual perception and processing mechanisms · Neural dynamics and brain function · Color Science and Applications
