thesis_final_submission_nosig.pdf (14.87 MB)

Motion Estimation by Focus Optimisation: Optic Flow and Motion Segmentation with Event Cameras

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thesis
posted on 04.05.2021, 00:33 by TIMO NICOLAS JOHANNES STOFFREGEN
Event cameras are a new camera technology inspired by biological vision. Instead of producing frames like a normal camera, each pixel is able to send neural spikes (called events) independently and asynchronously, just like the visual receptors in your eye. This has huge advantages for robot vision, since event cameras are fast, low power, don't have motion blur, and have high dynamic range. Processing such data is a challenge that this thesis helps overcome, by using cutting edge artificial neural networks, machine learning, and optimisation techniques to estimate motion and reconstruct video with near-infinite framerate from the events.

History

Campus location

Australia

Principal supervisor

Lindsay Kleeman

Additional supervisor 1

Tom Drummond

Year of Award

2021

Department, School or Centre

Electrical and Computer Systems Engineering

Additional Institution or Organisation

Australian Centre for Robotic Vision

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering