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相关概念视频

Atomic Force Microscopy01:08

Atomic Force Microscopy

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Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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基于相纹理和U-Net的多视图边缘投影配置测量.

Yu Ren, Wei Tao, Hui Zhao

    Optics express
    |November 14, 2024
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    概括

    本研究引入了用于多视图边缘投影特征测量 (FPP) 的相纹理技术,大大减少了所需图案的数量. 这种方法提高了投影效率,并提高了使用U-Net神经网络的3D重建精度.

    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:

    • 多视图边缘投影特征测量 (FPP) 依赖于3D重建的模式分离性.
    • 传统的FPP方法需要许多模式,限制投影效率.

    研究的目的:

    • 为多视图FPP开发一种新的相纹理技术,以减少图案数量.
    • 为了提高投影效率和提高FPP中的3D重建精度.

    主要方法:

    • 编码包裹阶段作为一个无周期纹理来减少图案数量.
    • 使用在虚拟数据集上训练的U-Net神经网络,将噪音和失焦作为解码器.
    • 设计一个单调损失函数,以提高解码器适应性,用于现实世界的测量.

    主要成果:

    • 拟议的相纹理模式是可分离的,使得有效的3D重建.
    • 与传统方法相比,仅使用五分之一的模式实现了重建.
    • 通过单调丢失函数和增强的数据集,U-Net表现出更好的解码性能.

    结论:

    • 阶段纹理技术显著提高了多视图FPP中的投影效率.

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  • 经过单调损失函数训练的U-Net解码器,在真实测量中表现出强大的性能.
  • 这种方法为使用FPP进行3D形状测量提供了更有效,更准确的方法.