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In-motion 3D reconstruction of high dynamic range surfaces
Optics Express
|February 14, 2023
Summary
This study introduces an advanced 3D reconstruction method for industrial parts, enhancing dynamic range for high reflectivity surfaces using RGB cameras and novel fusion techniques for accurate in-motion inspection.
Area of Science:
- Advanced Manufacturing
- Optical Metrology
- Computer Vision
Background:
- 3D reconstruction of industrial parts is crucial for advanced manufacturing.
- In-motion and online inspection of high dynamic range (HDR) surfaces presents significant challenges due to reflectivity variations.
Purpose of the Study:
- To develop an efficient and reliable method for in-motion 3D reconstruction of HDR industrial parts.
- To enhance the measurement dynamic range for surfaces with large reflectivity variations.
Main Methods:
- Utilized RGB line-scan cameras for in-motion multiple-shot 3D shape measurements.
- Implemented multi-channel one-dimensional background-normalized Fourier transform profilometry (MC-1DBNFTP) for in-motion HDR measurements.
- Developed a fusion method based on reliability evaluation for HDR surfaces, including overexposed areas, using 5 projected patterns to obtain 6 results.
Main Results:
- Achieved extended measurement dynamic range for HDR surfaces.
- Demonstrated accurate and reliable in-motion 3D reconstruction.
- Successfully mapped colored textures onto reconstructed surfaces.
Conclusions:
- The proposed method effectively addresses the challenges of in-motion 3D reconstruction for HDR industrial parts.
- RGB channel fusion and reliability-based evaluation enhance measurement accuracy and robustness.
- The technique is suitable for online inspection requirements in advanced manufacturing.
