3D measurements and motion analysis supported by passive vision techniques

• Autorzy: Kohut, P.
• Języki publikacji: EN

Abstrakty

EN

The article contains presentation of application of three-dimensional vision methods in realization of vibration measurements and their analysis. For this purpose algorithms were developed of discrete epipolar 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.

Słowa kluczowe

PL

geometria; drgania; trójwymiarowa technika wizyjna

EN

3D vision techniques; epipolar geometry; structure from motion; vibration measurements

• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2007
• Tom: Vol. 14, No. 4
• Strony: 637-649
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Kohut, P.

• AGH University of Science and Technology, Department of Robotics and Mechatronics, Al. Mickiewicza 30, 30-059 Cracow

Bibliografia

• [1] S. Christy, R. Horaud. Euclidean shape and motion from multiple 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-RI- TR-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 Conference & Exposition on Structural Dynamics, IMAC XXIV, Jan-Feb 2, St. Louis, 2006.
• [6] B.D. Lucas, T. Kanade. An Iterative Image Registration Technique with an Application to Stereo Vision. International Joint Conference on Artificial Intelligence, pp. 674-679, 1981.
• [7] Y. Ma, S. Soatto, J. Kostecka, S. Sastry. An Invitation to 3D Vision. Springer-Verlag, New York, 2004.
• [8] J.L. Mundy, A. Zisserman. Geometric Invariance in Computer Vision. MIT Press, 1992.
• [9] C. Poelman, T. Kanade. A paraperspective factorization method for shape and motion recovery. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(3): 206-218, 1997.
• [10] C. Poelman, T. Kanade. A Paraperspective Factorization Method for Shape and Motion Recovery. Technical Report CMU-CS-93-219, Pittsburgh, PA, Dec 1993.
• [11] C. Tomasi, T. Kanade. Shape and motion from image streams under orthography: a factorization method. Int. J. Computer Vision, 9(2): 137-154, 1992.
• [12] C. Tomasi, T. Kanade. Shape and Motion from Image Streams: a Factorization Method. Technical Report CMU-CS-92-104, Carnegie Mellon University, Pittsburgh, PA, Jan 1991.
• [13] E. Trucco, A. Verri. Introductory Techniques for 3D Computer Vision. Prentice-Hall, 1998.
• [14] http://www.vision.caltech.edu/bouguetj7calib_doc/index.html
• [15] www.idtvision.com (XS-3 XStremVISION)