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相关概念视频

Divergence Theorem in 3D Space01:20

Divergence Theorem in 3D Space

In vector calculus, flux measures the total flow of a vector field through a surface. For a closed surface in three-dimensional space, this means measuring how much of the field passes outward through every point on the boundary. Directly calculating this flux can be difficult when the surface has a complicated or irregular shape. The Divergence Theorem provides a powerful alternative by relating surface flux to behavior inside the enclosed region.The Divergence Theorem states that the outward...

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相关实验视频

Updated: Jun 28, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

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3D重建的时间分布式框架,将边缘投影与深度学习集成在一起.

Andrew-Hieu Nguyen1, Zhaoyang Wang2

  • 1Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD 21224, USA.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究介绍了一种新的深度学习方法,用于使用时间结构光进行3D形状重建. 时间分布式方法提高了动态应用的准确性和实用性.

关键词:
卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.边缘到相位转换的转换.一次射击成像成像技术三维图像采集 - - 三维图像采集三维感应三维感应

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Three-Dimensional Reconstruction of Orbital Fractures

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相关实验视频

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科学领域:

  • 计算机视觉 计算机视觉
  • 光学计量学 在光学计量学
  • 机器学习 机器学习

背景情况:

  • 结构光技术与深度学习相结合,为3D形状重建提供了高精度.
  • 现有的方法通常在空间领域处理数据,限制应用程序具有动态场景.

研究的目的:

  • 为时间结构光3D形状重建提出一种新的时间分布深度学习方法.
  • 为了提高动态场景的3D形状重建的准确性和实用性.

主要方法:

  • 使用自动编码器网络和时间分布式包装来处理时间边缘模式.
  • 采用边缘投影特征测量 (FPP) 用于地面真相生成和过程描述.
  • 将边框图案转换为接函数的计数器和分母.

主要成果:

  • 时间分布式的3D重建实现了与双频数据集 (p = 0.014) 相似的结果.
  • 通过统计测试,通过统计测试证明了比三次频率数据集 (p = 1.029 × 10-9) 更高的准确性.
  • 单一网络培训方法在各种应用中被证明是实用的.

结论:

  • 拟议的时间分布式深度学习方法为时间结构光3D形状重建提供了强大而准确的解决方案.
  • 这种方法对于科学研究和工业应用都非常实用,因为它的实施方式简单.
  • 该技术显示出在推进动态3D测量能力方面的巨大潜力.