轮廓仪
计算机科学
稳健性(进化)
格雷码
结构光三维扫描仪
计算机视觉
人工智能
结构光
高动态范围
光学
相位展开
点云
极化(电化学)
算法
曲面重建
二进制数
编码(社会科学)
动态范围
曲面(拓扑)
干涉测量
材料科学
物理
数学
几何学
表面光洁度
扫描仪
复合材料
物理化学
化学
算术
生物化学
统计
基因
作者
Zhenmin Zhu,Minchao Li,Fuqiang Zhou,Duoduo You
标识
DOI:10.1016/j.optlaseng.2023.107542
摘要
Fringe projection profilometry (FPP) is widely used because of its simple structure and high robustness. Most existing FPP methods consider the surface of a measurement object to be diffuse, and objects with a high dynamic range (HDR) surface usually violate the assumption that the object is a Lambert surface. As a result, the reconstruction results of many shiny objects will have missing 3D point clouds. To solve this problem, this paper proposes a polarization-plus-phase-shift coding strategy that can stably reconstruct 3D geometric objects under bright light conditions. This method replaces the traditional gray code patterns with polarization code patterns to assist the phase-shift patterns for phase unwrapping. Although the measurement object has an HDR surface, the corresponding phase period can be obtained accurately, which effectively suppresses the phase edge jump error caused by the highlight and improves the robustness of the phase unwrapping. Comparative experimental results show that the method can reliably obtain 3D information under the influence of highlights.
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