Neuromorphic Machine Vision

Description

An event-based camera captures the illumination changes and outputs them as sequences of events, allowing for high temporal resolution and low power consumption.  Many of the good-performing algorithms rely on first converting the events to the frames, and then applying standard computer vision methods such as CNNs. However, these methods neglect the sparse nature of the events, resulting in less efficient algorithms with high latency. Graph neural networks (GNN) enable direct processing of the events thanks to their capability to handle irregularly structured data. Hence, this project focuses on developing computationally efficient algorithms by proposing novel and online spatiotemporal GNNs techniques.

Period	2 Dec 2022
Event title	BioMorphic Intelligence Lab Kick-off Event and Symposium
Event type	Conference
Conference number	1
Location	Delft, Netherlands
Degree of Recognition	National