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Neuronal Specialization for Fine-Grained Distance Estimation Using a Real-Time Bio-Inspired Stereo Vision System

Robotics and Computer Technology Lab, E.T.S. Ing. Informática, University of Seville, 41012 Seville, Spain
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Electronics 2019, 8(12), 1502; https://doi.org/10.3390/electronics8121502
Received: 31 October 2019 / Revised: 29 November 2019 / Accepted: 4 December 2019 / Published: 8 December 2019
(This article belongs to the Section Circuit and Signal Processing)
The human binocular system performs very complex operations in real-time tasks thanks to neuronal specialization and several specialized processing layers. For a classic computer vision system, being able to perform the same operation requires high computational costs that, in many cases, causes it to not work in real time: this is the case regarding distance estimation. This work details the functionality of the biological processing system, as well as the neuromorphic engineering research branch—the main purpose of which is to mimic neuronal processing. A distance estimation system based on the calculation of the binocular disparities with specialized neuron populations is developed. This system is characterized by several tests and executed in a real-time environment. The response of the system proves the similarity between it and human binocular processing. Further, the results show that the implemented system can work in a real-time environment, with a distance estimation error of 15% (8% for the characterization tests). View Full-Text
Keywords: address–event–representation; neuromorphic engineering; stereo vision; binocular disparity; distance estimation address–event–representation; neuromorphic engineering; stereo vision; binocular disparity; distance estimation
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Domínguez-Morales, M.; Domínguez-Morales, J.P.; Ríos-Navarro, A.; Cascado-Caballero, D.; Jiménez-Fernández, Á.; Linares-Barranco, A. Neuronal Specialization for Fine-Grained Distance Estimation Using a Real-Time Bio-Inspired Stereo Vision System. Electronics 2019, 8, 1502.

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