3D measurements and motion analysis supported by passive vision techniques
Keywords:
3D vision techniques, epipolar geometry, structure from motion, vibration measurementsAbstract
The article contains presentation of application of three-dimensional vision methods in realization of vibration easurements and their analysis. For this purpose algorithms were developed of discrete epipola geometry and structure from motion, with the usage of one camera. Vibration amplitude is determined for selected measurement points on the analyzed object. Each point is represented by flat or three-dimensional marker attached on a construction. The article includes algorithms of the discussed methods and verification of those methods based upon simulation data, as we as preliminary experimental tests carried out on a test bed.
References
REFERENCES
[1] S. Christy, R. Horaud. Euclidean shape and motion from mult iple perspective views by affine iteration. IEEE Trans. Pattern Analysis and Machine Intelligence, 18(11): 1098- 1104, 1996
[2] M. Han, T . Kanade. Perspective Factorization Methods for Euclidean Reconstruction. Tech. Report CMU-RITR-99-22, Robotics Institute, Carnegie Mellon University, August, 1999.
[3] C. Harris, M. Stephens. A combined corner and edge detector. Proc. of The Fourth Alvey Vision Conference,Manchester, pp. 147-151. 1988.
[4] Hartley, A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2004.
[5] P. Kohut, P. Kurowski. The integration of vision system and modal analysis for SHM application. A Conferencef & Exposition on Structural Dynamics, IMAC XXIV, Jan- Feb 2, St. Louis, 2006.
[1] S. Christy, R. Horaud. Euclidean shape and motion from mult iple perspective views by affine iteration. IEEE Trans. Pattern Analysis and Machine Intelligence, 18(11): 1098- 1104, 1996
[2] M. Han, T . Kanade. Perspective Factorization Methods for Euclidean Reconstruction. Tech. Report CMU-RITR-99-22, Robotics Institute, Carnegie Mellon University, August, 1999.
[3] C. Harris, M. Stephens. A combined corner and edge detector. Proc. of The Fourth Alvey Vision Conference,Manchester, pp. 147-151. 1988.
[4] Hartley, A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2004.
[5] P. Kohut, P. Kurowski. The integration of vision system and modal analysis for SHM application. A Conferencef & Exposition on Structural Dynamics, IMAC XXIV, Jan- Feb 2, St. Louis, 2006.
Published
2022-08-17
Issue
pp. 637-649
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Kohut, P. (2022). 3D measurements and motion analysis supported by passive vision techniques. Computer Assisted Methods in Engineering and Science, 14(4), 637-649. https://cames3.ippt.pan.pl/index.php/cames/article/view/797
