R. A. Young. The Gaussian derivative model for machine vision: I. retinal mechanisms. Spatial Vision, 2#4#:273#293, 1987. Home/Search Document Not in Database Summary Related Articles Check |
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A Hierarchical Feature Based Deformation Model Applied to.. - Jacob Laading Colin (1998) (Correct)
....to specific pre defined anatomical or mathematical features. Instead, each facet s label is generally inferred by its location in a reference image. A set of facets is applied hierarchically (see figure 1) to capture deformation on several levels of coarseness as inspired by models of vision[23]. Each facet has an associated position x, and may also have an associated feature value f , depending on its location in the hierarchy (see section 2.1.1) A joint distribution is defined for all facet positions and feature values. We model the vectors x and f as conditionally independent given a ....
R. Young. The gaussian derivative model for machine vision: I. retinal mechanisms. Spatial Vision, 2(4):273--293, 1987.
A Geometric Model of Retinocortical Mechanisms - Florack (1999) (Correct)
....a function of scale = p 2s (inverse resolution) Of special interest are the self similarity solutions of Eq. 4) the so called Gaussian family [36] consisting of all derivatives of the zeroth order Gaussian Green s function. These will be our prototypes for modelling receptive eld pro les [44, 45, 31]. Let us denote the Gaussian family by G (IR n ) p G p (IR n ) note that it is a proper subset of S (IR n ) 4 2.3 Extensions of the Basic Equation One must pay caution when relating a physical quantity (such as the retinal irradiance function u in Eq. 4) to a psychophysical one, ....
R. A. Young. The Gaussian derivative model for machine vision: I. retinal mechanisms. Spatial Vision, 2(4):273-293, 1987. 13
Linear Scale-Space - Romeny (1994) (6 citations) (Correct)
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R. A. Young. The Gaussian derivative model for machine vision: I. retinal mechanisms. Spatial Vision, 2#4#:273#293, 1987.
Linear Scale-Space - Lindeberg, Romeny (1994) (6 citations) (Correct)
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R. A. Young. The Gaussian derivative model for machine vision: I. retinal mechanisms. Spatial Vision, 2(4):273--293, 1987.
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