Sep 16, 2014 · ABSTRACT | This paper introduces a new methodology to process asynchronously sampled image data captured by a.
This paper introduces a new methodology to process asynchronously sampled image data captured by a new generation of biomimetic vision sensors.
May 2, 2020 · The key advantages of an asynchronous event readout scheme are its low power consumption and low readout latency, both of which are only true if ...
Missing: Driven Filtering.
Mar 4, 2018 · This paper presents a novel spiking neural network-based approach to filtering noise events from data captured by an Asynchronous Time-based ...
A Noise Filtering Algorithm for Event-Based Asynchronous ... - NCBI
www.ncbi.nlm.nih.gov › PMC5844986
Mar 5, 2018 · This paper presents a novel spiking neural network-based approach to filtering noise events from data captured by an Asynchronous Time-based ...
The Fast Event-based Neuromorphic Camera and Electronics (FENCE) program seeks to develop an integrated event-based infrared (IR) FPA with embedded processing ...
Missing: Driven Filtering.
Our system jointly filters between a high-resolution image (c) and high-speed events to produce a high-resolution low- noise event frame (d), which can ...
AER Image Filtering ... An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking, ... Asynchronous Event-Based Motion Processing: From Visual ...
Interpolation-Based Event Visual Data Filtering ... chronous Neuromorphic Event-Driven Image Filtering. ... Noise Filtering Algorithm for Event-Based Asynchronous.
OBJECTIVE: This topic seeks to model, design, and produce an asynchronous, event-based infrared read out integrated circuit (ROIC) with low power, medium array ...
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