用近红外光栅扫描实现隐藏物体成像，三跳反射还原细节
Non-Line-of-Sight imaging using raster scanning at NIR wavelength
- 近红外激光经三次反射（墙→隐物→墙→相机）获取信息
- 808nm激光500mW功率下，对三类目标重建图像误差小
- 适合需要隐蔽探测的安防与机器人视觉场景
非视域（NLOS）成像是新兴技术，可透过间接光反射观测被遮挡物体。本文提出一种在近红外（NIR）波段运行的NLOS成像方法，采用云台设备进行光栅扫描。使用波长为808 nm、输出功率500 mW的近红外激光照射被障碍物遮挡的隐藏目标。成像过程包含三次反射：激光先击中中继墙，经隐藏目标反射后返回中继墙，最终到达NIR相机。该研究系统评估了三种不同目标下的成像效果，成功从非视域场景中恢复出高质量图像。重建图像与真实图像对比，采用均方误差（MSE）和均方根误差（RMSE）进行误差评估。
原文摘要 · Abstract (English)
Non-line-of-sight (NLOS) imaging is an emerging technique with transformative potential, enabling the visualization of hidden objects through indirect light reflection. This paper presents a NLOS imaging method operating in the near-infrared (NIR) wavelengths, specifically employing a raster scanning technique with a pan-tilt device. The NIR laser, operating at a wavelength of 808 nm and an output power of 500 mW, illuminates a hidden target occluded by an obstacle. The imaging process involves three bounces: the laser beam first strikes a relay wall, then reflects off the hidden target, returns to the relay wall, and subsequently reaches the NIR camera. This study systematically evaluates the effectiveness of the proposed method across three distinct targets, demonstrating the capability to recover high-quality images from non-line-of-sight scenarios. The obtained images of the hidden targets are compared with their ground truth images, and the error in the obtained images is assessed based on the criteria of Mean Squared Error (MSE) and Root Mean Square Error (RMSE).
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