A Spike-Based Neuromorphic Architecture of Stereo Vision.

ABSTRACT: The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems. As temporal information is a crucial feature in this process, the advent of event-based vision sensors and dedicated event-based processors promises to offer an effective approach to solving the stereo matching problem. Indeed, event-based neuromorphic hardware provides an optimal substrate for fast, asynchronous computation, that can make explicit use of precise temporal coincidences. However, although several biologically-inspired solutions have already been proposed, the performance benefits of combining event-based sensing with asynchronous and parallel computation are yet to be explored. Here we present a ha

SUBMITTER: Risi N 

PROVIDER: S-EPMC7693562 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature