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Entropy Minimisation Framework for Event-Based Vision Model Estimation [PDF]
, 2020 We propose a novel Entropy Minimisation (EMin) framework for event-based vision model estimation. The framework extends previous event-based motion compensation algorithms to handle models whose outputs have arbitrary dimensions. The main motivation comes from estimating motion from events directly in 3D space (e.g.
Urbano Miguel Nunes, Yiannis Demiris
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Parametric representations in event-based computer vision
First commercialized in 2006, event cameras are an emerging type of vision sensor that represents the evolving scene as a stream of events. This dissertation focuses on the topic of using parametric representations in event-based computer vision, simulating neural activities in the human body, and mirroring the neuromorphic event generation principles.
Song, Chen, Ph. D.
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Event-based features for robotic vision
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013This paper introduces a new time oriented visual feature extraction method developed to take full advantage of an asynchronous event-based camera. Event-based asynchronous cameras encode visual information in an extremely optimal manner in term of redundancy reduction and energy consumption.
Xavier Lagorce +2 more
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Event-based stereopsis with wearable stereo vision demonstrator
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023ICONS '23: 2023 International Conference on Neuromorphic Systems, August 1-3, 2023, Santa Fe, NM ...
Roy, Simon +4 more
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Activity-driven, event-based vision sensors
Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010The four chips [1–4] presented in the special session on "Activity-driven, event-based vision sensors" quickly output compressed digital data in the form of events. These sensors reduce redundancy and latency and increase dynamic range compared with conventional imagers.
Tobi Delbrück +3 more
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Early Image Detection Using Event Based Vision
2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), 2020Image recognition is a basic yet necessary task for real time applications. Although there is massive advancement in deep learning models for image recognition, they are all designed for normal images produced by frame-based cameras which are time and power hungry.
Alkhzami Alharami +4 more
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New Electronics, 2019
PROPHESEE LOOKS TO LEVERAGE EVENT-BASED VISION TECHNOLOGY WITH NEW CHIP.
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PROPHESEE LOOKS TO LEVERAGE EVENT-BASED VISION TECHNOLOGY WITH NEW CHIP.
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Neuromorphic vision: From sensors to event‐based algorithms
WIREs Data Mining and Knowledge Discovery, 2019Regardless of the marvels brought by the conventional frame‐based cameras, they have significant drawbacks due to their redundancy in data and temporal latency. This causes problem in applications where low‐latency transmission and high‐speed processing are mandatory.
Lakshmi, Annamalai +2 more
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Machine vision using combined frame-based and event-based vision sensor
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015Conventional synchronous imaging sensor provides frame-based video with a relatively high degree of temporal redundancy. On the other hand, activity-driven, event-based imaging sensor provides low resolution, monochromatic video feeds with low latency. This paper aims to integrate the output from both camera systems to leverage on the strengths of both
Hua-Sheng, Konstantin Nikolic
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