通过使用深度学习,在高分辨率下加速边缘投影造型测量到100kfps,使用深度学习
Jie Xu1, Jindong Tian2,3
1College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
Light, science & applications
|March 27, 2025
概括
深度学习显著增强了边缘投影特征测量,使得超快的3D成像能够以每秒10万的速度进行. 这一突破允许在高速短暂事件中进行高分辨率测量.
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:
- 边缘投影造型测量是一种关键的3D成像技术.
- 传统方法在动态场景的速度和分辨率方面面临限制.
研究的目的:
- 调查深度学习对边缘投影特征测量的影响.
- 为了实现高速,高分辨率的3D测量.
主要方法:
- 深度学习算法的应用到边缘投影数据.
- 开发一个能够采集高率3D数据的系统.
主要成果:
- 实现的成像速度高达每秒10万.
- 保持了高分辨率的3D测量功能.
- 证明了超快3D测量的可行性.
结论:
- 深度学习在高速应用中彻底改变了边缘投影特征测量.
- 在捕捉短暂的3D现象方面提供了新的可能性.
- 推动了超快速计量学领域的发展.
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