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Reconstruction of Cylindrical Surfaces Using Digital Image Correlation
Adilson Berveglieri1, Antonio M G Tommaselli2
1Department of Statistics, São Paulo State University UNESP, 305, Presidente Prudente 19060-900, Brazil. a.berveglieri@unesp.br.
Sensors (Basel, Switzerland)
|December 2, 2018
Summary
This study presents a novel 3D reconstruction technique for cylindrical surfaces using stereo optical images and adaptive least squares matching (ALSM). The method achieves high accuracy, reconstructing entire cylindrical surfaces with precision up to 1/10 mm.
Area of Science:
- Computer Vision
- Photogrammetry
- Metrology
Background:
- Accurate 3D reconstruction of cylindrical surfaces is crucial in various industrial and scientific applications.
- Traditional methods may face challenges with accuracy and completeness for complex geometries.
Purpose of the Study:
- To develop and validate a novel technique for high-accuracy 3D reconstruction of cylindrical surfaces.
- To leverage stereo-image analysis and advanced matching algorithms for improved geometric modeling.
Main Methods:
- Utilized stereo-image acquisition with camera displacement along the cylinder's length.
- Modeled continuous parallax changes using a second-order function.
- Integrated the model with adaptive least squares matching (ALSM) for 3D reconstruction.
Main Results:
- Achieved high-accuracy 3D reconstruction of cylindrical surfaces.
- Demonstrated precise diameter estimation with an accuracy of 1/10 mm.
- Successfully reconstructed the entire cylindrical surface using only two image patches.
Conclusions:
- The proposed technique enables accurate and complete 3D modeling of cylindrical objects.
- The combination of perspective effect modeling and ALSM offers a robust solution for photogrammetric reconstruction.
- This method provides a significant advancement in metrology for cylindrical components.
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