Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor manufacturing. However, scientific-grade UV cameras with high quantum efficiency are expensive and include complex thermoelectric cooling systems. Here, we demonstrate a UV computational ghost imaging (UV-CGI) method to provide a cost-effective UV imaging and detection strategy. By applying spatial–temporal illumination patterns and using a 325 nm laser source, a single-pixel detector is enough to reconstruct the images of objects. We use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample. Furthermore, we demonstrate dark-field UV-CGI in both transmission and reflection schemes. By only collecting the scattered light from objects, we can detect the edges of pure phase objects and small scratches on a compact disc. Our results showcase a feasible low-cost solution for nondestructive UV imaging and detection. By combining it with other imaging techniques, such as hyperspectral imaging or time-resolved imaging, a compact and versatile UV computational imaging platform may be realized for future applications.

三维重建技术是机器视觉中最热门的研究方向之一，在无人驾驶和数字化加工与生产等领域得到了广泛的应用。传统的三维重建方法包括深度相机和多线激光扫描仪，但是通过深度相机获得的点云存在着信息不完整和不精确的问题，而多线激光扫描仪成本高，阻碍了该项技术的应用和研究。为解决上述问题，提出了一种基于转动式二维激光扫描仪的三维重建方法。首先，用步进电机带动二维激光扫描仪旋转运动来获取三维点云数据。然后，用多传感器融合的方法对激光扫描仪的位置进行标定，采用坐标系变换完成点云数据的匹配。最后，对采集得到的点云数据进行了滤波和精简处理。实验结果表明：相较于深度相机/IMU数据融合的重建方法，平均误差降低了0.93 mm，为4.24 mm；精度达到了毫米级别，误差率也控制在了2%以内；整套设备的成本相较于多线激光扫描仪大大降低。本文方法基本满足保留物体的外形特征、高精度和成本低的要求。

应用半导体非平衡载流子连续性方程模拟了PbSe光电导红外探测器参数对光电响应的影响，实验研制了小规模像元的x-y寻址型PbSe光电导焦平面阵列（FPA）探测器，像元尺寸为500 μm×500 μm，像元间距为500 μm。实验表征了PbSe FPA探测器像元的光电响应性能，有效像元率达到了100%。500 K温度黑体辐射和3.0V偏压下像元的黑体响应率的范围是70~146 mA/W，平均响应率和平均探测率分别达到了110 mA/W和5.5×10⁹cmHz1/2W-1。像元的噪声等效温差（NETD）范围是15~81mK，平均噪声等效温差为32 mK。使用中波红外成像装置，初步演示了PbSe FPA探测器对350~450℃热辐射目标的红外成像。为后续研制高密度像元PbSe FPA探测器奠定了基础。