相关实验视频
Updated: Feb 20, 2026

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Determining 3D Flow Fields via Multi-camera Light Field Imaging
Published on: March 6, 2013
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概括
本研究介绍了一种双视角拼接方法,以增强远心结构光系统的景深 (DOF). 该技术将DOF扩展1.7倍,保持3D重建的高精度.
科学领域:
- 光学和光子学 在光学和光子学.
- 计量学和测量科学 计量学和测量科学
背景情况:
- 结构光技术对于高精度的3D重建和测量至关重要.
- 传统的远程中心系统面临着深度范围 (DOF) 的限制,阻碍了大规模的高度重建.
研究的目的:
- 提出和验证双视角拼接方法,以扩展远心结构光系统的DOF.
- 为了实现大规模的高度重建,而不会影响测量准确度.
主要方法:
- 实施了双视角系统,垂直移动的摄像头以在一个共同的焦点区域内捕获不同高度的数据.
- 开发了一种预校准的点云拼接方法,利用远心透镜的几何一致性.
- 使用确定拼接矩阵从不同视角合并点云,消除了基于特征的注册的需要.
主要成果:
- 实现了对远程中心系统的DOF范围的1.7倍扩展.
- 保持高测量精度,重复测量时相对误差在0.12%以内.
- 显著提高了接效率和工程适用性.
结论:
- 双视角拼接方法有效地扩展了远中心结构光系统的DOF.
- 这种方法保持了高的测量精度,并提高了用于大规模3D重建的接效率.
- 该方法为需要精确扩展深度成像的应用提供了实用解决方案.
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