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High-Accuracy Globally Consistent Surface Reconstruction Using Fringe Projection Profilometry.

Xu Cheng1, Xingjian Liu2, Zhongwei Li3

  • 1State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China. xu_cheng@hust.edu.cn.

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Summary
This summary is machine-generated.

This study introduces a new 3D registration method for high-accuracy surface reconstruction. It significantly reduces accumulated sensor error for industrial-level results using a single fringe projection profilometry (FPP) sensor.

Keywords:
3D reconstructiondepth image registrationfringe projection profilometryquality control

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Area of Science:

  • Computer Vision
  • Metrology
  • 3D Scanning

Background:

  • Fringe projection profilometry (FPP) is a key technique for 3D surface reconstruction.
  • Accumulated sensor pose estimation error limits accuracy in long scanning trajectories.

Purpose of the Study:

  • To develop a high-accuracy, globally consistent surface reconstruction method.
  • To address and mitigate accumulated sensor pose error in FPP scanning.

Main Methods:

  • A novel 3D registration method fusing geometric and curvature consistency constraints for relative pose estimation.
  • Global sensor pose optimization using a pose graph framework with pre-computed surface consistency information (covariance matrix).

Main Results:

  • Demonstrated substantial reduction in accumulated error during reconstruction of a large workpiece (1300 mm × 400 mm).
  • Achieved industrial-level surface model reconstruction accuracy.
  • Validated the effectiveness of the single FPP sensor approach without external positional aids.

Conclusions:

  • The proposed method enhances the accuracy and global consistency of FPP-based surface reconstruction.
  • It offers a robust solution for industrial applications requiring precise 3D models from a single sensor.