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Found 7 papers, 4 papers with code
3D Human Scan With A Moving Event Camera
The experimental results show that the proposed method outperforms conventional frame-based methods in the estimation accuracy of both pose and body mesh.
Event-based Background-Oriented Schlieren
Schlieren imaging is an optical technique to observe the flow of transparent media, such as air or water, without any particle seeding.
Fast Event-based Optical Flow Estimation by Triplet Matching
Event cameras are novel bio-inspired sensors that offer advantages over traditional cameras (low latency, high dynamic range, low power, etc.).
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework
We hope our work opens the door for future applications that unlocks the advantages of event cameras.
Secrets of Event-Based Optical Flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Event Collapse in Contrast Maximization Frameworks
Contrast maximization (CMax) is a framework that provides state-of-the-art results on several event-based computer vision tasks, such as ego-motion or optical flow estimation.
Exploration of Reinforcement Learning for Event Camera using Car-like Robots
We demonstrate the first reinforcement-learning application for robots equipped with an event camera.
