论文标题
傅立叶摄像机：单拍的视频频谱摄像机
FourierCam:A camera for video spectrum acquisition in single-shot
论文作者
论文摘要
新颖的相机架构有助于机器视觉的发展。 FourierCam并没有将框架序列捕获为传统摄像机，而是通过光学编码以单次拍摄的视频直接测量视频的时间频谱。与经典的摄像机和时频转换管道相比，这种可编程频域抽样策略具有吸引人的特征组合，可用于低检测带宽，低光成像，低计算负担和低数据量。基于FourierCam设计的各种时间滤波器内核，我们演示了一系列令人兴奋的机器视觉功能，例如视频压缩，背景减法，对象提取和轨迹跟踪。
The novel camera architecture facilitates the development of machine vision. Instead of capturing frame sequences in the temporal domain as traditional video cameras, FourierCam directly measures the pixel-wise temporal spectrum of the video in single-shot through optical coding. Compared with the classic video cameras and time-frequency transformation pipeline, this programmable frequency-domain sampling strategy has an attractive combination of characteristics for low detection bandwidth, low-light imaging, low computational burden and low data volume. Based on the various temporal filter kernel designed by FourierCam, we demonstrated a series of exciting machine vision functions, such as video compression, background subtraction, object extraction, and trajectory tracking.
