光学
计算机科学
极化(电化学)
结构光
旋光法
斯托克斯参量
计算机视觉
算法
人工智能
物理
物理化学
化学
散射
作者
Zhenmin Zhu,S B Qiao,Lingjun Liu,Peng Chen,Zhaozhang Chen
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2024-09-03
卷期号:32 (20): 34609-34609
被引量:1
摘要
In practical 3D measurement applications, stereo vision assisted with phase shift patterns is intensively studied and widely used for its high precision and excellent noise resilience. While aiming to improve matching efficiency, excessive projection patterns or unreliable algorithms may be introduced as a side effect. We propose a completely polarization-encoded phase shift (CPPS) method to overcome the above challenges. In our method, the Stokes parameter S1 of the polarization patterns is encoded. Compared to the traditional fringe patterns, our method can reduce the number of projected patterns to improve the measurement efficiency. Therefore, the exact constraints can be realized without additional patterns. Experimental results show that the CPPS method reduces the matching time by 76.6% while reducing the number of fringe patterns by half.
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