Three-dimensional displacement measurement via fusion of holographic speckle interferometry and event-based vision
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摘要:
传统三维数字散斑干涉通常依赖多光束、多波长或多相机同步结构获取三维位移矢量,存在光路复杂、维度耦合、动态过程同步困难等问题。针对上述限制,本文提出一种数字全息散斑干涉与事件视觉融合的三维动态位移场测量方法。首先利用工业相机结合空间相移技术记录全息干涉图样,实现物体表面法向微变形的高精度相位重建。然后引入事件相机异步感知表面散斑亮度变化获取面内位移场,结合事件流进行时序累积与块匹配算法进行位移求解。最后将高灵敏度离面相位信息与面内位移数据融合,实现完整三维位移场的重构。本文构建的数字全息散斑干涉-事件视觉融合系统能够稳定实现圆形薄板三维位移场测量;其中离面位移测量RMSE最低达到0.47 μm,面内位移测量RMSE最低达到0.18 μm,三维融合位移场RMSE3D最低达到0.13 μm。该方法基本满足三维微小变形测量中高精度、稳定性好及抗干扰能力较强等要求。
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关键词:
- 数字全息散斑干涉术 /
- 事件相机 /
- 块匹配 /
- Kirchhoff-Love薄板理论
Abstract:Traditional three-dimensional digital speckle interferometry generally relies on synchronized multi-beam, multi-wavelength, or multi-camera configurations to obtain three-dimensional displacement vectors, which often leads to complex optical setups, dimensional coupling, and difficulties in synchronizing dynamic processes. To overcome these limitations, this paper proposes a three-dimensional dynamic displacement-field measurement method that integrates digital holographic speckle interferometry with event vision. First, holographic interference patterns are recorded by an industrial camera combined with a spatial phase-shifting technique, enabling high-precision phase reconstruction of out-of-plane micro-deformation on the object surface. Then, an event camera is introduced to asynchronously capture speckle-intensity variations on the surface for in-plane displacement measurement. The event stream is temporally accumulated, and a block-matching algorithm is used for displacement estimation. Finally, the highly sensitive out-of-plane phase information is fused with the in-plane displacement data to reconstruct the complete three-dimensional displacement field. Experimental results show that the proposed digital holographic speckle interferometry–event vision fusion system can stably measure the three-dimensional displacement field of circular thin plates. The minimum RMSE values reach 0.47 μm for out-of-plane displacement, 0.18 μm for in-plane displacement, and 0.13 μm for the fused three-dimensional displacement field. The proposed method generally satisfies the requirements of high precision, good stability, and strong anti-interference capability in three-dimensional micro-deformation measurement.
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表 1 离面位移测量误差统计
Table 1. Statistical results of out-of-plane displacement measurement errors
PZT加载量/μm 最大面内位移/μm RMSE/μm 相对误差/% 50 49.62 0.47 2.46 100 99.86 1.01 2.62 150 150.16 1.30 2.25 表 2 面内位移测量误差统计
Table 2. Statistical results of in-plane displacement measurement errors
PZT加载量/μm 最大面内位
移幅值/μm有效匹配
比例值/%RMSE/μm 相对误差/% 50 3.25 95.58 0.18 8.18 100 6.76 94.48 0.32 7.12 150 9.20 92.71 0.51 7.64 表 3 三维位移场融合精度统计
Table 3. Accuracy statistics of three-dimensional displacement field fusion
PZT加载量/μm RMSE3D/μm ε3D/% 最大三维
误差/μm有效测量
点比例/%50 0.13 0.63 0.36 79.35 100 0.26 0.64 0.69 78.14 150 0.37 0.63 0.98 80.37 表 4 不同加载量下3次重复测量的RMSE3D数据与统计结果
Table 4. Raw data and statistical results of RMSE3D for 3 repeated measurements under different indentation depths
PZT加载量/μm 测量1/μm 测量2/μm 测量3/μm 统计结果(平
均值±标准差)50 0.13 0.16 0.14 0.14±0.01 100 0.26 0.31 0.27 0.28±0.03 150 0.37 0.42 0.43 0.40±0.04 -
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