Computer vision system for monitoring in dynamic structural testing

Geotechnical, Geological and Earthquake Engineering

Volumn 22, Issue , 2012, Pages 159-176

  Lunghi, Francesco ^a   Pavese, Alberto ^a,b   Peloso, Simone ^a   Lanese, Igor ^a   Silvestri, Davide ^a  

^a EUROPEAN CENTRE FOR TRAINING AND RESEARCH IN EARTHQUAKE ENGINEERING EUCENTRE   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84883119529     PISSN: 15736059     EISSN: 18724671     Source Type: Book Series    
DOI: 10.1007/978-94-007-1977-4_9     Document Type: Article

References (15)

1. Bradski G, Kaehler A (2008) Learning openCV computer vision with the openCV library. O'Reilly Media, Sebastopol, CA
2. Devernay F, Faugeras O (2001) Straight lines have to be straight - automatic calibration and removal of distortion from scenes of structured environment. Mach Vis appl 13:14-24
3. Heikkila J (2000) Geometric camera calibration using circular control points. IEEE Trans Pattern Anal Machine Intell 22(10):1066-1077
4. Heikkila J, Silvé n O (1996) Calibration procedure for short focal length off-the-shelf CCD cameras. Machine Vision Group, Department of Electrical Engineering, University of Oulu
5. Heikkila J, Silvén O (1997) A four-step camera calibration procedure with implicit image correction. Machine Vision Group, Department of Electrical Engineering, University of Oulu Intel Corporation (1999-2001) Open source computer vision
6. Lepetit V, Fua P (2005) Monocular model-based 3D tracking of rigid objects: a survey. Found Trends Comput Graph Vis 31(9):1552-1566
7. Li M (2001) Correspondence analysis between. The image formation pipelines of graphics and vision. In: Proceedings of the IX Spanish symposium on pattern recognition and image analysis, Castelló
8. Pollefeys M (2002) Visual 3D modeling from images. University of North Carolina, Chapel Hill
9. Pollefeys M, Koch R, VanGool L (1998) Self-calibration and metric reconstruction in spite of varying and unknown internal camera parameters. In: International conference on computer vision, Bombay
10. Simon G, Berger MO (2002) Pose estimation from planar structures. Comput Graph Appl 22:46-53
11. Skrypnyk I, Lowe DG (2001) Scene modeling, recognition and tracking with invariant image features. In: International symposium on mixed and augmented reality, Arlington, pp 110-119
12. Sturm P, Maybank S (1999) On plane-based camera calibration: a general algorithm, singularities, applications. In: Conference on computer vision and pattern recognition, Ft. Collins, pp 432-437
13. Swaminathan R, Nayar SK (2003) A perspective on distortions. In: Conference on computer vision and pattern recognition, Madison
14. Tardif JP, Sturm P, Trudeau M, Roy S (2009) Calibration of cameras with radially symmetric distortion. Pattern analysis and machine intelligence, IEEE Trans 31(9):1552-1566
15. Zhang Z (1998) A flexible new technique for camera calibration. Pattern analysis and machine intelligence, IEEE Trans 22(11):1330-1334