Extracting 3D from 2D: Selection basis for camera calibration

Proceedings of the Seventh IASTED International Conference on Computer Graphics and Imaging

Volumn , Issue , 2004, Pages 315-321

  Villa Uriol, Maria Cruz ^a   Chaudhary, Gautam ^a   Kuester, Falko ^a   Hutchinson, Tara ^a   Bagherzadeh, Nader ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Camera calibration; Computer vision; Scientific visualization

Indexed keywords

CALIBRATION; CAMERAS; COMPUTER VISION; IMAGE PROCESSING; INFORMATION RETRIEVAL; PROBLEM SOLVING; VECTORS;

CAMERA CALIBRATION; CAMERA COORDINATE SYSTEMS; CAMERA LENS; SCIENTIFIC VISUALIZATION;

PATTERN RECOGNITION;

EID: 10444267361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. S. Gibson, R. J. Hubbold, J. Cook, and T. L. J. Howard, Interactive reconstruction of virtual environments from video sequences, Computers & Graphics, 27(4), 2003, 293-301.
2. E. Trucco and A. Verri, Introductory techniques for 3-D computer vision (Prentice Hall, 1998).
3. O. Faugeras, Three-dimensional computer vision (MIT Press, 1995).
4. R. Mohr, L. Quan, and F. Veillon, Relative 3D reconstruction using multiple uncalibrated images, International Journal of Robotics Research, 14(6), 1995, 619-632.
5. Z. Zhang and A. R. Hanson, Scaled euclidean 3D reconstruction based on externally uncalibrated cameras, International Symposium on Computer Vision, Coral Gables, FL, 1995, 37-42.
6. J.-S. Lee and Y.-H. Jeong, CCD camera calibrations and projection error analysis, Proc. 4th Korea-Russia International Symposium on Science and Technology, 2000, 2(27), 50-55.
7. S. Ernst, C. Stiller, J. Goldbeck, and C. Roessig, Camera calibration for lane and obstacle detection, in Proc. IEEE/IEEJ/JSAI International Conf. on Intelligent Transportation Systems, 1999, 256-361.
8. J. P. Barreto, K. Daniilidis, N. Kelshikar, R. Molana, and X. Zabulis, http://www.cis.upenn.edu/ sequence/research/downloads/easycal/, January 2004.
9. R. Y. Tsai, An efficient and accurate camera calibration technique for 3D machine vision, IEEE Conf. on Computer Vision and Pattern Recognition, 1986, 364-374.
10. M. Agrawal and L. S. Davis, Camera calibration using spheres: a semi-definite programming approach, 9th IEEE International Conf. on Computer Vision, 2003, 782-789.
11. J. Heikkilä, Camera calibration toolbox for Matlab, http://www.ee.oulu.fi/jth/calibr/, January 2004.
12. J.-I. Jeong, S.-Y. Moon, S.-G. Choi, and D. hwan Rho, A study on the flexible camera calibration method using a grid type frame with different line widths, Proc. 41st SICE Annual Conference, 2, 2002, 1319-1324.
13. J. Heikkilä, Geometric camera calibration using circular control points, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(10), 2000, 1066-1077.
14. T. Sbovoda, Multi-Camera Self-Calibration, http://cmp.felk.cvut.cz/ svoboda/selfcal/, May 2004.
15. J.-Y. Bouguet, Camera Calibration Toolbox, http://www.vision.caltech.edu/bouguetj/calib_doc/, May 2004.
16. J. Heikkilä and O. Silvén, A four-step camera calibration procedure with implicit image correction, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 1997, 1106-1112.
17. Z. Zhang, Flexible camera calibration by viewing a plane from unknown orientations, International Conf. on Computer Vision, Corfu, Greece, 1999, 666-673.
18. Z. Zhang, A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11), 2000, 1330-1334.
19. R. Y. Tsai, A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses, IEEE Journal of Robotics and Automation, RA-3(4), 1987, 323-344.