Howland Gregory A, Lum Daniel J, Ware Matthew R, Howell John C
Opt Express. 2013 Oct 7;21(20):23822-37. doi: 10.1364/OE.21.023822.
We demonstrate a compressed sensing, photon counting lidar system based on the single-pixel camera. Our technique recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts. Only two-dimensional reconstructions are required to image a three-dimensional scene. We demonstrate intensity imaging and depth mapping at 256 × 256 pixel transverse resolution with acquisition times as short as 3 seconds. We also show novelty filtering, reconstructing only the difference between two instances of a scene. Finally, we acquire 32 × 32 pixel real-time video for three-dimensional object tracking at 14 frames-per-second.
我们展示了一种基于单像素相机的压缩感知光子计数激光雷达系统。我们的技术能够在约0.5皮瓦的超低光水平下，从感兴趣场景的一组欠采样的非相干线性投影中恢复深度图和强度图。仅需二维重建即可对三维场景进行成像。我们展示了在256×256像素横向分辨率下的强度成像和深度映射，采集时间短至3秒。我们还展示了新颖的滤波方法，即仅重建场景两个实例之间的差异。最后，我们以每秒14帧的速度获取32×32像素的实时视频用于三维物体跟踪。
