Time-resolved velocity profile measurement using event-based imaging
This paper presents the implementation of time-resolved velocity profile measurement using event-based vision
(EBV) employing an event-camera in-place of a high-speed camera.
To change or not to change: Exploring the potential of event-based detectors for wavefront sensing
This paper presents the modelling and preliminary experimental results of a Shack-Hartmann tip-tilt wavefront sensor equipped with an event-based detector, demonstrating its ability to estimate spot displacement with remarkable speed and sensitivity in low-light conditions.
Widefield Diamond Quantum Sensing with Neuromorphic Vision Sensors
This paper proposes a novel, computationally efficient regularizer to mitigate event collapse in the CMax framework. From a theoretical point of view, the regularizer is designed based on geometric principles of motion field deformation (measuring area rate of change along point trajectories).
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion
The MSMO algorithm uses the velocities of each event to create an average of the scene and filter out dissimilar events. This work shows the study performed on the velocity values of the events and explains why ultimately an average-based velocity filter is insufficient for lightweight MSMO detection and tracking of objects using an EBS camera.
Are High-Resolution Event Cameras Really Needed?
The MSMO algorithm uses the velocities of each event to create an average of the scene and filter out dissimilar events. This work shows the study performed on the velocity values of the events and explains why ultimately an average-based velocity filter is insufficient for lightweight MSMO detection and tracking of objects using an EBS camera.