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    科学领域:

    • 光学和光子学 在光学和光子学.
    • 计算机视觉 计算机视觉
    • 计量学 计量学 计量学

    背景情况:

    • 边缘投射造型测量对于智能制造和文化遗产至关重要.
    • 在3D形状测量中,不断扩大的测量区域引入了降低相位精度的环境因素.
    • 现有的方法在大视野应用中扎着相位错误.

    研究的目的:

    • 开发适应性相位错误校正方法,用于大视野3D测量.
    • 为了最大限度地减少相位误差,而不需要额外的投影或预校准.
    • 为了提高边缘投影概况测量的3D重建的准确性.

    主要方法:

    • 提出了用于自适应阶段错误校正的细分校正区块 (SCB) 方法.
    • 利用改进的Sobel运算符进行边缘检测和细分,以创建结构面罩.
    • 将阶段地图划分为稳定和不稳定区域,根据稳定区域纠正阶段.
    • 采用图像块方法来检测和消除异常值,使用统计信息.

    主要成果:

    • 与模拟中的标准相位移算法相比,相位误差减少了89.6%.
    • 在大尺度物体测量中获得了大约0.3rad的精度改进.
    • 在小尺度物体测量中,精度提高了约0.03rad.
    • 证明了对多个对象的高精度3D重建能力.

    结论:

    • 该SCB方法有效地纠正大视野边缘投射特征测量中的相位错误.
    • 这种方法可以提高3D测量的准确性,而不需要额外的校准或投影.
    • 该方法为各种应用中高精度3D重建提供了强大的解决方案.