Dynamic Event Camera Calibration, IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2021. Video, Code. Zuo, Y., Cui, L., Peng, X., Xu, Y., Gao, S., Wang, X., Kneip, L., Accurate depth estimation from a hybrid event-RGB stereo setup, IEEE/RSJ Int. Conf. Intelligent...
It enables anyone to get a better understanding of event-based vision, directly interact with events and build their own applications or camera plugins. As a camera manufacturer, ensure your customers benefit from the most advanced event-based software suite available by building your own plugin. A...
Unsupervised Video Deraining with An Event Camera Jin Wang Wenming Weng Yueyi Zhang* Zhiwei Xiong University of Science and Technology of China {jin01wang, wmweng}@mail.ustc.edu.cn, {zhyuey, zwxiong}@ustc.edu.cn https://github.com/booker-max/Unsupervised-Deraining-with-Event-Camera Abs...
与传统相机相比,Event Camera是完全不同的,它不是记录一个场景的,而是记录一个场景的变化。对于单个像素点,只有接收的光强产生变化时,该像素点才会输出。比如亮度增加并超过的一个阈值,那么对应像素点将输出一个亮度增加的事件(+1),反之输出亮度降低的事件(-1)。输出可以看作是一个一维二值信号,每个信号点包含了...
4.3 视频流转Events数据Video to Events: Recycling Video Datasets for Event CamerasRPG提出的一个将视频转成事件相机输出的一个网络,网络可以将一段儿视频转成对应的DVS输出,代码已开源:https://github.com/uzh-rpg/rpg_vid2e。通过该网络,可以将现有的大量视频数据集,转成对应的event数据,更好地方便learning。
公众号后台回复「CVPR2020_Event_Camera」,即可获得网盘下载链接。 1、降噪 Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras 使用"Event probability mask (EPM)"表述一个事件点是否为噪声,是一个概率。同时提出了一个衡量事件相机降噪效果的指标:Rela...
4.3 视频流转Events数据Video to Events: Recycling Video Datasets for Event CamerasRPG提出的一个将视频转成事件相机输出的一个网络,网络可以将一段儿视频转成对应的DVS输出,代码已开源:github.com/uzh-rpg/rpg_。通过该网络,可以将现有的大量视频数据集,转成对应的event数据,更好地方便learning。可以看出,RPG在...
Evaluation Toolkit:https://github.com/prophesee-ai/prophesee-automotive-dataset-toolbox 1. Background and Motivation: 本文在 event camera 上进行了物体检测的任务,主要是因为该传感器具有较好的时间分辨率,没有运动模糊,高动态,以及低功耗等。在自动驾驶领域,有较好的应用前景。
To make the best out of this sensor-algorithm combination, we adapt state-of-the-art convolutional architectures to the output of event sensors and extensively evaluate the performance of our approach on a publicly available large scale event-camera dataset (~1000 km). We present qualitative and...
this paper introduces the first framework for 3D tracking of two fast-moving and interacting hands from a single monocular event camera. Our approach tackles the left-right hand ambiguity with a novel semi-supervised feature-wise attention mechanism and integrates an intersection loss to fix hand co...