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Organic semiconductors for artificial vision

Journal of Materials Chemistry B, 2013
Organic semiconductors have emerged in the past two decades as promising materials for many technological applications. Thanks to their unique optoelectronic properties, they represent an ideal system to mimic natural photoreceptor functioning. This similarity has been exploited, on one hand, to realize organic-based devices for image detection, taking
MARTINO, NICOLA   +4 more
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Toward biologically plausible artificial vision

Behavioral and Brain Sciences, 2023
Abstract Quilty-Dunn et al. argue that deep convolutional neural networks (DCNNs) optimized for image classification exemplify structural disanalogies to human vision. A different kind of artificial vision – found in reinforcement-learning agents navigating artificial three-dimensional environments – can be expected to be more human-like.
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Optics and Artificial Vision

2021
This book provides a concise introduction to computer vision. It equips the reader with the tools needed to understand and engage with digital image processing, the algorithms of optical flow and the algorithms of object detection, using Python® software to show real, implemented applications in industry.
Rafael G González-Acuña   +2 more
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Artificial vision through neuronal stimulation

Neuroscience Letters, 2012
The term visual prosthesis refers to any device capable of eliciting visual percepts in an individual through electrical stimulation of any part of the visual system.Blindness can be due to eye pathology or due to damage of the lateral geniculate or visual cortex.
Rodrigo A Brant, Fernandes   +3 more
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Artificial vision: principles and prospects

Current Opinion in Neurology, 2017
Purpose of review The aim of this article is to give an overview of the strategies and technologies currently under development to return vision to blind patients and will answer the question: What options exist for artificial vision in patients blind from retinal disease; how close are these to clinical practice?
Michael J, Gilhooley, James, Acheson
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Drishti—Artificial Vision

2019
Drishti is a computer vision and deep learning-based application developed using Python programming language for the sole purpose of envisioning the real-time environment by generating the natural language description of the real-time captured scenes. The primary objective of this project is to enable a visually impaired person to know about his or her
Sneh Rathore, Sahil Sharma, Lisha Singh
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Artificial intelligence in vision

[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
Shows a model of visual perception particularly suitable to realize the segmentation of the pictorial scene. The model uses AI methods and in particular problem solving. The first module of the model has the task for making the regions emerge (their contours); it provides topological information about these regions.
N. Di Ruocco, A. Vitale, S. Vitulano
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Artificial Vision: Vision of a Newcomer

2007
The Japanese Consortium for an Artificial Retina has developed a new stimulating method named Suprachoroidal-Transretinal Stimulation (STS). Using STS, electrically evoked potentials (EEPs) were effectively elicited in Royal College of Surgeons (RCS) rats and in rabbits and cats with normal vision, using relatively small stimulus currents, such that ...
Takashi Fujikado   +2 more
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Artificial Vision and Soft Computing

Fundamenta Informaticae, 1999
The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. For example, it can be used to introduce flexibility in artificial systems to improve their Intelligent Quotient.
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Artificial vision.

Panminerva medica, 2011
A number treatment options are emerging for patients with retinal degenerative disease, including gene therapy, trophic factor therapy, visual cycle inhibitors (e.g., for patients with Stargardt disease and allied conditions), and cell transplantation.
M, Zarbin   +3 more
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