Research in Computer and Robot Vision 1995
DOI: 10.1142/9789812812483_0006
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A Foveated Retina for Robotic Vision

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Cited by 9 publications
(19 citation statements)
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“…To constrain the placement of these centres, we need to derive two positioning parameters from the three model parameters, namely, the angle between adjacent rays and the ratio k of radii of adjacent circles. The ray spacing angle is given by (1) As for the radii ratio, we used an adjacent circle spacing constraint which ensures that the average of the RF overlap of an RF on a circle i by its neighbors on circles i Ϫ 1 and i + 1 is the desired overlap . Given that the first ring of RFs is at the foveal radius r f (where i = 0), this constraint forces the circles to have radii r i , given by The difference between these positioning parameters and Yamamoto's version is very small (see [1] for the derivations of k and and details of this comparison).…”
Section: Retinal Mapping Modelmentioning
confidence: 99%
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“…To constrain the placement of these centres, we need to derive two positioning parameters from the three model parameters, namely, the angle between adjacent rays and the ratio k of radii of adjacent circles. The ray spacing angle is given by (1) As for the radii ratio, we used an adjacent circle spacing constraint which ensures that the average of the RF overlap of an RF on a circle i by its neighbors on circles i Ϫ 1 and i + 1 is the desired overlap . Given that the first ring of RFs is at the foveal radius r f (where i = 0), this constraint forces the circles to have radii r i , given by The difference between these positioning parameters and Yamamoto's version is very small (see [1] for the derivations of k and and details of this comparison).…”
Section: Retinal Mapping Modelmentioning
confidence: 99%
“…The high output rate of the camera makes this very difficult. Yet analysis shows that using the SL approach requires fewer computations to compute the mapping than a straightforward table look-up approach [1]. The SL algorithm is described here in the context of computing the retino-cortical mapping.…”
Section: Mapping Algorithmmentioning
confidence: 99%
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“…We will not delve in this issue here. It has been extensively studied in [3] but it still remains an open problem. In our implementation we used non-overlapping averaging receptive elds as implemented in the emulation of the space-variant sensor in [22].…”
Section: The Complex Logarithmic Mappingmentioning
confidence: 99%