摘要
事件相机是一种仿生的动态视觉传感器,具有高时间分辨率、大动态响应范围、低功耗等优势,能够连续捕获视场中的光强变化。开发基于事件相机的视觉测量方案对于解决动态问题至关重要,但是现有的研究还存在两大问题:其一,事件相机输出异步的事件数据流,在传输过程中丢失了空间信息,无法参考传统相机的测量方案及算法;其二,事件相机缺乏可靠的滤波算法,所还原的事件帧图像质量差,不足以可靠地计算图像特征。本文阐述了事件相机的发展过程和目标追踪相关的研究成果,讨论了事件相机的标定、结构光测量以及聚焦变化测量技术的发展。基于事件相机的三维测量方案存在事件流数据特征不可靠、测量精度低等问题,需要优化时空间信息提取算法,提升测量精度,开发高速事件相机测量系统,设计高效、低带宽、低功耗、小计算量的解决方案,进而推动高速视觉测量领域的发展。
The event camera is a biomimetic dynamic vision sensor with advantages such as high time resolution,wide dynamic response range,and low power consumption.It can continuously capture changes in light intensity within the field of view.Developing visual measurement solutions based on event cameras is crucial for addressing dynamic problems.However,event-based measurement systems face two significant challenges.Firstly,event cameras output asynchronous event streams,which lose spatial information during transmission,making it difficult to reference traditional vision measurement algorithms.Secondly,event cameras lack reliable filtering algorithms,leading to poor-quality restored event frames,which are insufficient for reliably calculating image features.Our study outlines the development process of event cameras and reviews research on event-based target tracking.We also discuss advancements in event camera calibration,event-based structured light measurement,and event-based autofocus techniques.The 3D measurement scheme based on event cameras encounters issues with the unreliability of event stream data features and low measurement accuracy.By studying spatio-temporal information extraction algorithms,we aim to improve measurement accuracy.Developing highspeed event camera measurement systems and designing efficient solutions with low-bandwidth,low-power,and small computation will further advance the field of high-speed visual measurement.
作者
杨树明
瞿兴
马椿洋
Yang Shuming;Qu Xing;Ma Chunyang(State Key Laboratory for Manufacturing Systems Engineering,Xi’an Jiaotong University,Xi’an 710054,Shaanxi,China)
出处
《光学学报(网络版)》
2024年第3期21-32,共12页
Acta Optica Sinica(Online)
基金
国家杰出青年科学基金(52225507)
高校基本科研业务费项目
关键词
事件相机
三维测量
相机标定
event camera
3D measurement
camera calibration
