AI, ML and Friends is a weekly seminar series within the School of Computing on Artificial Intelligence, Machine Learning, and related topics. We are open to attendees and presenters external to the school. Please sign up to the mailing list to receive weekly announcements including zoom details, and email the seminar organiser to schedule a talk.

Upcoming Seminars #

19 May 2022, 11:00 #

A Linear Comb Filter for Event Flicker Removal #

Speaker: Ziwei Wang

Abstract: Event cameras are bio-inspired sensors that capture per-pixel asynchronous intensity change rather than the synchronous absolute intensity frames captured by a classical camera sensor. Such cameras are ideal for robotics applications since they have high temporal resolution, high dynamic range and low latency. However, due to their high temporal resolution, event cameras are particularly sensitive to flicker such as from fluorescent or LED lights. During every cycle from bright to dark, pixels that image a flickering light source generate many events that provide little or no useful information for a robot, swamping the useful data in the scene. In this talk, I will introduce a novel linear filter to preprocess event data to remove unwanted flicker events from an event stream. The algorithm achieves over 4.6 times relative improvement in the signal-to-noise ratio when compared to the raw event stream due to the effective removal of flicker from fluorescent lighting. Thus, it is ideally suited to robotics applications that operate in indoor settings or scenes illuminated by flickering light sources.

Bio: Ziwei Wang is a PhD student at the College of Engineering and Computer Science, the Australian National Unversity (ANU). She received her BE in Mechatronic Systems from the ANU. Her research interests lie in neuromorphic cameras, image/video processing and robotic systems.

Where: Building 145, room 1.33

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