带宽(计算)
计算机科学
亮度
事件(粒子物理)
控制理论(社会学)
噪音(视频)
控制(管理)
实时计算
计算机视觉
人工智能
图像(数学)
电信
物理
量子力学
光学
作者
Tobi Delbrück,Rui Graca,Marcin Paluch
标识
DOI:10.1109/cvprw53098.2021.00146
摘要
Dynamic vision sensor event cameras produce a variable data rate stream of brightness change events. Event production at the pixel level is controlled by threshold, bandwidth, and refractory period bias current parameter settings. Biases must be adjusted to match application requirements and the optimal settings depend on many factors. As a first step towards automatic control of biases, this paper proposes fixed-step feedback controllers that use measurements of event rate and noise. The controllers regulate the event rate within an acceptable range using threshold and refractory period control, and regulate noise using bandwidth control. Experiments demonstrate model validity and feedback control.
科研通智能强力驱动
Strongly Powered by AbleSci AI