Volume- 2
Issue- 5
Year- 2015
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Trieu, Hang Thi , Han, Dongyeob, Nguyen, Truong Linh
The objective of this paper is to simulate the dynamic behavior of a structure using digital close-range photogrammetry by a stereocamera system and a single-camera system. An inexpensive stereo-camera system recorded a vibrating structure with multiple marked-target points, and then the displacements in spatial coordinates of the target points were computed via spaceintersection theory. A less than 1.0 mm error of 3D coordinates calculation was obtained from the stereo-camera system of the proposed method. The six degrees of freedom (6-DOF)-based dynamic motion of the structure could then be systematically attained by an absolute orientation of set points on the vibrating rigid structure. The motion of the structure was also simulated using a single camera or stereo system in the same experiment. The method using a single camera was based on a space-resection algorithm with a suitable camera position and object size, and ended with an inverse resection to 6-DOF of the structure. By applying the proposed methods, an experiment was successfully performed to monitor the motion of a vibrating structure.
[1] Abdel-Aziz, Y.I. and Karara, H.M. 1971. Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry. Proceedings of ASP Symposium on Close-Range Photogrammetry. American Society of Photogrammetry. 26- 29 January, Washington, USA, 1-18.
[2] Benetazzo, A. 2011. Accurate measurement of six degree of freedom small-scale ship motion through analysis of one camera images. Ocean Eng. 38, 16 (Nov. 2011), 1755-1762.
[3] Canny, J.F. 1986. A computational approach to edge detection. IEEE T. Pattern Anal. 8, 6 (Nov. 1986), 679-698.
[4] Choi, H.S., Cheung, J.H., Kim, S.H. and Ahn, J.H. 2011. Structural dynamic displacement vision system using digital image processing. NDT&E Int. 44, 7 (Nov. 2011), 597–608.
[5] Corten, G.P. and Sable, J.C. 1995. Optical motion analysis of wind turbines. Technical Report. Delft University of Technology. ISBN 90-75638-01-9.
[6] Dewitt, B.A. 1996. Initial approximations for the threedimensional conformal coordinate transformation. Photogramm. Eng. Rem. S. 62, 1 (Jan. 1996), 79-83.
[7] Hartley, R. and Zisserman, A. 2003. Multiple View Geometry in Computer Vision. 2nd Edition. Cambridge University Press. Cambridge.
[8] Horn, B.K.P. 1987. Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soc. Am. A. 4, 4 (Apr. 1987), 629-642.
[9] Jeon, H., Choi, Y., Park, J., and Park, J. 2010. Multi-point measurement of structural vibration using pattern recognitionfrom camera image. Nucl. Eng. Technol. 42, 6 (Dec. 2010), 704-711.
[10] Ji, Y.F. and Chang, C.C. 2008. Non-target image-based technique for small cable vibration measurement. J. Bridge Eng. 13, 1 (Jan. 2008), 34-42.
[11] Kim, S. and Kim, N. 2011. Multi-point displacement response measurement of civil infrastructure using digital image processing. Proceedings of the 12th East Asia-Pacific Conference on Structural Engineering and Construction. EASEC. 26-28 January, Hong Kong, 195-203.
[12] Luhmann, T. 2009. Precision potential of photogrammetric 6DOF pose estimation with a single camera. J. Photogramm. Rem. Sen. 64, 3 (May 2009), 275-284.
[13] Luhmann, T., Robson, S., Kyle, S., and Harley, I. 2006. Close Range Photogrammetry: Principles, Methods and Application. Wiley. Scotland, UK.
[14] Mikhail, E.M., Bethel, J.S., and McGlone, J.C. 2001. Introduction to Modern Photogrammetry. John Wiley & Sons Inc. New York, NY.
[15] Moffitt, F.H and Mikhail, E.M. 1980. Photogrammetry, 3rd Edition. Harper & Row. New York, 442-445.
[16] Ozbek, M., Rixen, D.J., Erne, O., and Sanow, G. 2010. Feasibility of monitoring large wind turbines using photogrammetry. Energy. 35, 12 (Dec. 2010), 4802-4811.
[17] Saxena, A., Chung, S.H., and Ng, A.Y. 2005. Learning depth from single monocular images. Proceedings of Advances in Neural Information Processing Systems 18. NIPS. 5-8 December, Vancouver, British Columbia, unpaginated CDROM.
[18] The MathWorks. 2015. Computer Vision System Toolbox User’s Guide. The MathWorks, Inc. Natick, MA.
[19] Wieser, A. and Brunner, F.K. 2002. Analysis of bridge deformation using continuous GPS measurement. Proceedings of 2nd Conference of Engineering Surveying. INGEO. 11-13 November, Bratislava, 45-52.
[20] Xu, Y.L. 2013. Wind Effects on Cable-Supported Bridges. John Wiley & Sons Singapore Pte. Ltd.
[21] Xu, Y.L. and Chan, W.S. 2009. Wind and structural monitoring of long span cable-supported bridges with GPS. Proceedings of the 7th Asia-Pacific Conference on Wind Engineering. APCWE. 8-12 November, Taipei, Taiwan, unpaginated CD-ROM.
[22] Yi, J., Kim, J., Jeong, W., and Chae, J. 2013. Field evaluation of optical-based three-dimensional dynamic motion measurement system with targets for a floating structure. Ocean Eng. 62, 1 (Apr. 2013), 140-151.
Dept. of Civil and Environmental Eng., Chonnam National University, Yeosu, South Korea,
No. of Downloads: 6 | No. of Views: 848
Abhishek Patil, Diya Raut, Roshani Prasad, Charudatta Shimpi.
April 2024 - Vol 11, Issue 2
B.V.Satish Babu, Dr. K.Suresh Babu, Durga Prasad Kare.
October 2023 - Vol 10, Issue 5
Kushal Kumar, Khushboo Tripathi, Rashmi Gupta.
June 2023 - Vol 10, Issue 3
