SOTAVerified

Event-based vision

An event camera, also known as a neuromorphic camera, silicon retina or dynamic vision sensor, is an imaging sensor that responds to local changes in brightness. Event cameras do not capture images using a shutter as conventional cameras do. Instead, each pixel inside an event camera operates independently and asynchronously, reporting changes in brightness as they occur and staying silent otherwise. Modern event cameras have microsecond temporal resolution, 120 dB dynamic range, and less under/overexposure and motion blur than frame cameras.

Papers

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Showing 111–120 of 145 papers

TitleStatusHype
Lossy Event Compression based on Image-derived Quad Trees and Poisson Disk Sampling—0
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception—0
Real-time clustering and multi-target tracking using event-based sensors—0
Asynchronous Optimisation for Event-based Visual Odometry—0
Asynchronous Bioplausible Neuron for SNN for Event Vision—0
Re-Interpreting the Step-Response Probability Curve to Extract Fundamental Physical Parameters of Event-based Vision Sensors—0
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation—0
ASAP: Adaptive Scheme for Asynchronous Processing of Event-based Vision Algorithms—0
Robust event-stream pattern tracking based on correlative filter—0
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1REDmAP43—Unverified