Search Results for author:
Found 10 papers, 6 papers with code
High Speed and High Dynamic Range Video with an Event Camera
In this work we propose to learn to reconstruct intensity images from event streams directly from data instead of relying on any hand-crafted priors.
Ranked #3 on
Event-based Object Segmentation
on MVSEC-SEG
CED: Color Event Camera Dataset
Event cameras are novel, bio-inspired visual sensors, whose pixels output asynchronous and independent timestamped spikes at local intensity changes, called 'events'.
Events-to-Video: Bringing Modern Computer Vision to Event Cameras
Since the output of event cameras is fundamentally different from conventional cameras, it is commonly accepted that they require the development of specialized algorithms to accommodate the particular nature of events.
Asynchronous, Photometric Feature Tracking using Events and Frames
By contrast, standard cameras provide intensity measurements (frames) that do not depend on motion direction.
Semi-Dense 3D Reconstruction with a Stereo Event Camera
Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision.
A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation
We present a unifying framework to solve several computer vision problems with event cameras: motion, depth and optical flow estimation.
Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM in HDR and High Speed Scenarios
Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames.
Continuous-Time Visual-Inertial Odometry for Event Cameras
Recent work has shown that a continuous-time representation of the event camera pose can deal with the high temporal resolution and asynchronous nature of this sensor in a principled way.
The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM
New vision sensors, such as the Dynamic and Active-pixel Vision sensor (DAVIS), incorporate a conventional global-shutter camera and an event-based sensor in the same pixel array.
Event-based, 6-DOF Camera Tracking from Photometric Depth Maps
Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames.
