Qian Yan, He Ruiqing, Chen Qian, Gu Guohua, Shi Feng, Zhang Wenwen
Opt Express. 2019 Sep 30;27(20):27862-27872. doi: 10.1364/OE.27.027862.
Three-dimensional (3D) imaging can be reconstructed by a computational ghost imaging system with single pixel detectors based on a photometric stereo, but the requirement of large measurements and long imaging times are obstacles to its development. Also, the compressibility of the target's surface normals has not been fully studied, which causes the waste in sampling efficiency in single-pixel imaging. In this paper, we propose a method to adaptively measure the object's 3D information based on surface normals. In the proposed method, the regions of object's surface are illuminated by patterns of different spatial resolutions according to the variation of surface normals. The experimental results demonstrate that our proposed scheme can reduce measurements and preserve the quality of the formed 3D image.
基于光度立体视觉的单像素探测器计算鬼成像系统可以重建三维（3D）图像，但大量测量和长时间成像的要求是其发展的障碍。此外，目标表面法线的可压缩性尚未得到充分研究，这导致单像素成像中采样效率的浪费。在本文中，我们提出了一种基于表面法线自适应测量物体三维信息的方法。在所提出的方法中，根据表面法线的变化，用不同空间分辨率的图案照射物体表面区域。实验结果表明，我们提出的方案可以减少测量次数并保持所形成三维图像的质量。
