进步的3D表面成像:单轴结构光照明全光学摄像头与机器学习集成
Optics express
|August 13, 2025
概括
我们开发了一种新的单轴3D结构光照明 (SLI) 全光相机. 这种3D成像系统克服了表面纹理的限制,并使用机器学习算法提高了分辨率和范围.
科学领域:
- 光学和光子学 在光学和光子学.
- 3D成像技术 3D成像技术
- 机器学习应用 机器学习应用
背景情况:
- 结构光照明 (SLI) 是一种3D表面成像技术.
- 传统的SLI通常需要离轴投影来进行深度测量.
- 全光成像 (PI) 提供单轴3D成像,但依赖于表面纹理.
研究的目的:
- 为了展示一个单轴3D SLI全光镜相机.
- 将单轴成像优势与表面纹理独立性相结合.
- 探索机器学习以提高3D SLI性能.
主要方法:
- 开发了一个同轴SLI3D全光镜相机.
- 实现了传统的功能跟踪算法.
- 集成的机器学习 (ML) 算法用于数据处理.
主要成果:
- 达到的深度灵敏度降至0.2% dz/z0.0.
- 证明独立于表面质地.
- 通过ML展示了增强的分辨率和测量范围.
结论:
- 单轴SLI 3D全光镜相机适用于现场地形测量.
- 这项技术在具有挑战性的环境中是有效的,如高温或受限制的几何形状.
- 该系统在缺乏可追踪表面纹理的物体上表现良好.
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