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通过深度强化学习进行高效的自动化高动态范围3D测量.

Pan Zhang, Kai Zhong, Zhongwei Li

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    |March 5, 2024
    PubMed
    概括

    本研究介绍了一种深度强化学习方法,用于优化3D测量曝光序列. 这种方法可以实现高覆盖率和精度,使用显著较少的曝光量,提高工业计量学效率.

    科学领域:

    • 计量学 计量学 计量学
    • 计算机视觉 计算机视觉
    • 机器学习 机器学习

    背景情况:

    • 高动态范围的3D测量对于工业应用至关重要.
    • 优化曝光序列以提高3D计量学中的效率和质量是一个重大挑战.

    研究的目的:

    • 开发一种创新的曝光选择方法,用于使用深度强化学习进行高动态范围的3D测量.
    • 为了应对平衡3D计量学中的测量效率和质量的挑战.

    主要方法:

    • 将曝光选择重新解释为马尔科夫决策问题.
    • 开发一个曝光图像预测网络 (EIPN) 来模拟虚拟环境.
    • 建立一个包含曝光数,时间,覆盖范围和准确性的奖励函数.
    • 使用曝光选择网络 (ESN) 作为一个代理来导出最佳曝光序列.

    主要成果:

    • 提出的深度强化学习方法实现了与传统方法相比的覆盖率 (0.997) 和精度 (0.0263 mm).
    • 该方法显著减少了所需曝光次数,通常使用4次曝光,而不是20次.
    • 实验结果表明ESN在选择最佳暴露序列方面的有效性.

    结论:

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    • 深度强化学习为优化高动态范围3D测量中的曝光序列提供了有效的解决方案.
    • 开发的方法提高了测量效率而不损害质量,为工业计量学提供了实际的好处.