概括
本研究引入了一种增强的福里埃-希尔伯特变换 (EFHT) 方法,以减少结构光技术中强度和引起的3D测量的错误. EFHT 方法有效地纠正相位错误,提高了使用更少图像的测量精度.
科学领域:
- 光学和光子学 在光学和光子学.
- 计量学 计量学 计量学
- 计算机视觉 计算机视觉
背景情况:
- 结构光技术对于3D测量至关重要.
- 高动态范围 (HDR) 测量中的强度和引入了显著的相位错误.
- 现有的方法很难完全弥补和引起的错误和其他残余错误.
研究的目的:
- 提出一种增强的福里埃-希尔伯特变换 (EFHT) 方法来抑制和诱导的相位误差.
- 解决剩余错误,包括反射率不均,相位移和边缘边缘错误.
- 为了提高相位移型型测量中的3D测量的准确性.
主要方法:
- 应用于和边缘图案的背景正常化,以减轻不均的反射率.
- 开发了一种自我纠正方法,以解决补偿相位数据中的大型相位转移错误.
- 使用自行纠正的相位错误检测来定位边缘区域,以使用子周期相位错误模型进行准确的相位计算.
主要成果:
- 显著抑制和诱导的相位错误.
- 有效地纠正其他剩余错误:反射率不均,相位移和边缘边缘错误.
- 与传统方法相比,使用更少的图像实现了准确的3D测量.
结论:
- 拟议的EFHT方法在减少强度和引起的相位误差方面非常有效.
- 该方法可稳定处理多种类型的剩余误差,提高测量可靠性.
- EFHT提供了一种高效的解决方案,用于使用结构光谱测量进行精确的HDR 3D测量.
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