波形辅助自适应EKF相位移估计方法用于运动诱导的错误补偿
Xin Lai1, Qiushuo Yu1, Zhenyi Chen2
1School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, China.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
这项研究引入了一种波纹辅助的自适应扩展卡尔曼波器 (WAEKF),以解决相位变换特征测量 (PSP) 中的运动错误. 新方法准确地估计了相位变化,大大减少了动态场景中的3D重建错误.
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:
- 阶段转移造型测量 (PSP) 对动态环境中运动诱导的阶段变化敏感.
- 这些变化会导致显著的错误,如波纹,扭曲和3D重建的精度降低.
- 现有的PSP方法通常假定固定相位移,这对于动态场景来说是有问题的.
研究的目的:
- 开发一种可靠的方法来估计动态场景中的像素相位移.
- 为了减轻移动诱导的相位误差在相位变换的 profilometry.
- 为了提高从边缘图案的3D重建的准确性和可靠性.
主要方法:
- 建议使用波波式辅助自适应扩展卡尔曼波器 (WAEKF) 来估计不同的像素相位移.
- 基于波纹的策略被用来从EKF的边缘模式中提取初始的空间载波频率.
- 使用前向后向波器建立了一个状态空间模型,其中包含二次相组件和载波频率.
主要成果:
- 拟议的WAEKF方法成功获得了准确的初始载波频率和相位转移图.
- 实验结果表明,3D重建错误的显著减少.
- 该方法有效地弥补动态场景中运动诱导的相位错误.
结论:
- 波纹辅助的自适应扩展卡尔曼波器为PSP中的运动工件提供了有效的解决方案.
- 该方法提高了动态环境中3D重建的准确性.
- 这种方法具有适应性,可以扩展到N级PSP系统.
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