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Optimization reconstruction method of object profile using flexible laser plane and bi-planar references
Guan Xu1, Jing Yuan1, Xiaotao Li2
1Traffic and Transportation College, Nanling Campus, Jilin University, Renmin Str. 5988#, Changchun, China.
This study introduces an optimized method for object profile reconstruction using a flexible laser plane and bi-planar references. The new approach significantly improves reconstruction accuracy, reducing mean errors to 0.93 mm.
Area of Science:
- * Computer Vision
- * Metrology
- * 3D Reconstruction
Background:
- * Accurate 3D object profile reconstruction is crucial for various industrial applications.
- * Existing methods often face challenges with precision and flexibility in coordinate system transformations.
- * Bi-planar references offer a novel approach to establish robust coordinate system relationships.
Purpose of the Study:
- * To develop and evaluate an optimized method for 3D object profile reconstruction.
- * To enhance the accuracy of reconstruction by minimizing errors using an optimization function.
- * To demonstrate the effectiveness of bi-planar references in improving spatial calibration and reconstruction.
Main Methods:
- * Utilized a flexible laser plane and bi-planar references for coordinate system transformations.
- * Confirmed the laser plane through intersection points with bi-planar references.
- * Implemented an optimization function based on reconstruction distances and reprojection errors from a target with eight markers.
Main Results:
- * Initial reconstruction method achieved a mean error of 1.01 mm.
- * The optimized reconstruction method significantly reduced the mean error to 0.93 mm.
- * Evaluation involved comparing true distances with standard distances, validating the method's accuracy.
Conclusions:
- * The proposed optimization method with bi-planar references enhances 3D profile reconstruction accuracy.
- * This technique shows significant potential for applications requiring precise object profile measurement.
- * Bi-planar references provide a flexible and effective benchmark for spatial calibration.
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