基于结构光投影仪的多视图的三维重建和点云注册噪声清除,用于融合
Yun Feng1,2, Rongyu Wu2, Xiaojun Liu1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究介绍了一种新的3D重建系统,使用结构光对复杂物体进行重建. 该系统有效地捕获详细的3D点云数据,克服了单角度扫描的局限性.
科学领域:
- 计算机视觉 计算机视觉
- 三维重建的3D重建
- 计量学 计量学 计量学
背景情况:
- 结构光技术对于3D点云数据采集至关重要.
- 现有的方法面临着复杂的物体几何形状和阴影区域的挑战.
- 准确的3D数据对于反向工程和质量检查等应用是必不可少的.
研究的目的:
- 为复杂的物体开发一个先进的3D重建系统.
- 为了提高3D点云数据的准确性和完整性.
- 为了使复杂的组件能够精确地进行维度分析.
主要方法:
- 使用九级灰色代码和八步结构光投影.
- 使用双边投影仪,摄像头和旋转平台进行多视角扫描.
- 实现了相位转移,相位解封以及基于距离的新型消除噪声算法.
主要成果:
- 从复杂的物体中成功获得了全面的3D点云数据.
- 通过多视角数据采集,有效避免阴影区域.
- 验证了系统对精确尺寸定量分析的能力,以航空发动机叶片为例.
结论:
- 拟议的系统为复杂物体的高保真3D重建提供了有效的解决方案.
- 多视角扫描和先进算法的集成提高了数据质量和完整性.
- 该系统适用于工程部件的详细计量和分析.
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