Event-Based Shape From Polarization
This paper tackles the speed-resolution trade-off using event cameras. Event cameras are efficient highspeed vision sensors that asynchronously measure changes in brightness intensity with microsecond resolution.
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
This paper tackles the speed-resolution trade-off using event cameras. Event cameras are efficient highspeed vision sensors that asynchronously measure changes in brightness intensity with microsecond resolution.
Evaluating Image-Based Face and Eye Tracking with Event Cameras
This paper showcases the viability of integrating conventional algorithms with event-based data, transformed into a frame format while preserving the unique benefits of event cameras.
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework
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).
Pedestrian Detection with High-Resolution Event Camera
This paper compares two methods of processing event data by means of deep learning for the task of pedestrian detection. It uses a representation in the form of video frames, convolutional neural networks and asynchronous sparse convolutional neural networks.