Results 1 to 10 of about 22,862 (162)
High-efficiency sparse convolution operator for event-based cameras [PDF]
Frontiers in NeuroroboticsEvent-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in various robotic applications.
Sen Zhang +8 more
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Optical Flow Estimation by Matching Time Surface with Event-Based Cameras [PDF]
Sensors, 2021 In this work, we propose a novel method of estimating optical flow from event-based cameras by matching the time surface of events. The proposed loss function measures the timestamp consistency between the time surface formed by the latest timestamp of ...
Jun Nagata +2 more
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Optical flow estimation from event-based cameras and spiking neural networks [PDF]
Frontiers in Neuroscience, 2023 Event-based cameras are raising interest within the computer vision community. These sensors operate with asynchronous pixels, emitting events, or “spikes”, when the luminance change at a given pixel since the last event surpasses a certain threshold ...
Javier Cuadrado +5 more
doaj +2 more sources
Real-Time Multi-Task Facial Analytics With Event Cameras
IEEE Access, 2023 Event cameras, unlike traditional frame-based cameras, excel in detecting and reporting changes in light intensity on a per-pixel basis. This unique technology offers numerous advantages, including high temporal resolution, low latency, wide dynamic ...
Cian Ryan +6 more
doaj +3 more sources
Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: A Review [PDF]
SensorsEvent-based (neuromorphic) cameras depart from frame-based sensing by reporting asynchronous per-pixel brightness changes. This produces sparse, low-latency data streams with extreme temporal resolution but demands new processing paradigms.
Claudio Cimarelli +3 more
doaj +2 more sources
High-Speed Image Restoration Based on a Dynamic Vision Sensor [PDF]
SensorsWe report on the post-capture, on-demand deblurring technique based on a Dynamic Vision Sensor (DVS). Motion blur causes photographic defects inherently in most use cases of mobile cameras.
Paul K. J. Park +3 more
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NeuroPong: the event-based camera driven embedded neuromorphic system
Neuromorphic Computing and EngineeringNeuromorphic computing is a novel style of computing that features low-power spiking neural networks (SNNs) as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous ...
Charles P Rizzo +9 more
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Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows [PDF]
Experiments in Fluids, 2022 Abstract Contrary to conventional frame-based imaging, event-based vision or dynamic vision sensing asynchronously records binary signals of intensity changes for given pixels with microsecond resolution. The present work explores the possibilities of harnessing the potential of event-based vision for fluid flow ...
Willert, Christian, Klinner, Joachim
openaire +5 more sources
Analytical Review of Event-Based Camera Depth Estimation Methods and Systems
Sensors, 2022 Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many ...
Justas Furmonas +2 more
doaj +1 more source
Event Camera Simulator Improvements via Characterized Parameters
Frontiers in Neuroscience, 2021 It has been more than two decades since the first neuromorphic Dynamic Vision Sensor (DVS) sensor was invented, and many subsequent prototypes have been built with a wide spectrum of applications in mind.
Damien Joubert +5 more
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