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Improved calibration method based on the RANSAC approach and an improved gray centroid method for a laser-line-based
Applied Optics
|December 25, 2019
Summary
This study introduces an improved calibration method for structured light systems, enhancing accuracy for 3D imaging. The new approach achieves precise calibration and reconstruction, outperforming traditional techniques for complex objects.
Area of Science:
- Computer Vision
- Metrology
- Optical Engineering
Background:
- Accurate calibration is crucial for structured light 3D imaging systems.
- Traditional calibration methods can struggle with complex objects and noise.
- Improving the precision of intrinsic and extrinsic parameter estimation is essential.
Purpose of the Study:
- To propose an enhanced calibration method for structured light systems.
- To improve the accuracy and robustness of 3D reconstruction.
- To achieve sub-millimeter calibration and reconstruction errors.
Main Methods:
- Utilizing the Random Sample Consensus (RANSAC) algorithm with nonlinear optimization.
- Employing an improved gray centroid method for centerline extraction.
- Combining camera parameter calibration with structured light plane fitting.
Main Results:
- Achieved a calibration error within 0.08 mm.
- Demonstrated a reconstruction error of less than 0.45 mm.
- Showcased superior performance in reconstructing complex objects.
Conclusions:
- The proposed RANSAC-based calibration method significantly enhances structured light system accuracy.
- The improved gray centroid and RANSAC approach offers robust and precise 3D imaging.
- This method provides a reliable solution for high-accuracy 3D reconstruction, especially for intricate geometries.
