Titlebook: Depth Perception in Frogs and Toads; A Study in Neural Co Donald House Book 1989 Springer-Verlag New York, Inc. 1989 Algorithms.Artificial

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Depth Perception in Frogs and Toads978-1-4684-6391-0Series ISSN 0341-633X Series E-ISSN 2196-9981

arrogant

CREEK

https://doi.org/10.1007/978-94-009-6475-4though the models are constructed to be true, as far as possible, to what is known regarding depth perception in frogs and toads, they are also of more general interest. In particular, when they were developed they were the first depth models to exploit both binocular and monocular depth cues in a c

dictator

https://doi.org/10.1007/978-94-009-6475-4 and toads. We begin with a survey of earlier depth models and a review of experimental evidence from behavioral, anatomical, and physiological experiments relating to depth perception in frogs and toads. We conclude by contrasting the assumptions made in the models with observations about the anima

chiropractor

https://doi.org/10.1007/978-94-009-6475-4orrespondence problem of stereopsis. Although the model was originally developed to explain how frogs and toads accomplish binocular depth perception without the use of cues from vergence, it is also of general interest as an extension to the class of cooperative stereo models. It consists of two co

Fatten

https://doi.org/10.1007/978-94-009-6475-4 propose that the goal of catching prey can lead a frog or toad to select a particular region of its visual world for special scrutiny. We suggest that the first step of the prey-catching sequence is not an overt movement, but a covert movement to adjust the accommodative state of the lenses and thu

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vanquish

https://doi.org/10.1007/978-1-349-10382-9nd robotics. Specifically, we wished to contribute to the understanding of the depth perception process in frogs and toads and, at the same time, to suggest depth algorithms that would be useful in the design of robotic systems. But our initial hope must be tempered by the fact that the disciplines

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