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Simultaneous surface reconstruction and motion estimation for 3D measurements on moving samples
Optics Express
|August 14, 2026
Summary
This study introduces a structured light profilometry method for precise surface reconstruction and motion tracking of moving objects. The technique achieves high accuracy for both surface topography and motion estimation, suitable for industrial applications.
Area of Science:
- Metrology
- Computer Vision
- Optical Engineering
Background:
- Structured light profilometry (SLP) traditionally requires stationary subjects for accurate surface reconstruction.
- Estimating motion simultaneously with surface measurement presents significant challenges in dynamic industrial settings.
Purpose of the Study:
- To develop a novel SLP method for simultaneous surface reconstruction and motion estimation of uniformly moving samples.
- To enable non-contact, marker-free measurement of objects during continuous motion, enhancing industrial inspection capabilities.
Main Methods:
- Redesigned SLP by minimizing an objective function incorporating geometric and textural features.
- Iterative optimization procedure to determine sample topography, texture, and motion simultaneously.
- Characterization of setup geometry prior to measurement.
Main Results:
- Achieved surface reconstruction accuracy of up to 11.6 micrometers for moving samples.
- Estimated sample motion with sub-micrometer accuracy.
- Demonstrated feasibility for real-time measurement on conveyor belts.
Conclusions:
- The proposed SLP method effectively reconstructs surfaces and estimates motion of moving objects without markers.
- High accuracy and flexibility make the method suitable for integration into industrial production lines for in-line quality control.
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