Pose estimation with radial distortion and unknown focal length

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 2419-2426

  Josephson, Klas ^a   Byröd, Martin ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS;

BUNDLE ADJUSTMENTS; FOCAL LENGTHS; INITIAL ESTIMATE; LINEAR PROJECTIONS; MINIMAL SOLVERS; POSE ESTIMATION; RADIAL DISTORTIONS; UNCALIBRATED;

COMPUTER VISION;

EID: 70450205307     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206756     Document Type: Conference Paper

References (28)

1. M. Abidi and T. Chandra. A new efficient and direct solution for pose estimation using quadrangular targets: Algorithm and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(5):534-538, 1995.
2. H. Bay, T. Tuytelaars, and L. Van Gool. Surf: Speeded up robust features. In 9th European Conference on Computer Vision, Graz Austria, 2006.
3. D. C. Brown. Close-range camera calibration. Photometric Engineering, 37:855-866, 1971.
4. M. Bujnak, Z. Kukelova, and T. Pajdla. A general solution to the p4p problem for camera with unknown focal length. In Proc. Conf. Computer Vision and Pattern Recognition, Anchorage, USA, 2008.
5. M. Byröd, K. Josephson, and K. Å column-pivoting based strategy for monomial ordering in numerical gröbner basis calculations. In The 10th European Conference on Computer Vision, 2008.
6. M. Byröd, Z. Kukelova, K. Josephson, T. Pajdla, and K. Åström. Fast and robust numerical solutions to minimal problems for cameras with radial distortion. In Proc. Conf. Computer Vision and Pattern Recognition, Anchorage, USA, 2008.
7. D. Cox, J. Little, and D. O'Shea. Using Algebraic Geometry. Springer Verlag, 1998.
8. D. Cox, J. Little, and D. O'Shea. Ideals, Varieties, and Algorithms. Springer, 2007.
9. F. Devernay and O. D. Faugeras. Automatic calibration and removal of distortion from scenes of structured environments. Investigative and Trial Image Processing, 2567:62- 72, 1995.
10. M. A. Fischler and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-95, 1981.
11. A.W. Fitzgibbon. Simultaneous linear estimation ofmultiple view geometry and lens distortion. In Proceedings of Computer Vision and Pattern Recognition Conference (CPVR), pages 125-132, 2001.
12. C. Geyer and H. Stewénius. A nine-point algorithm for estimating para-catadioptric fundamental matrices. In Proc. Conf. Computer Vision and Pattern Recognition, Minneapolis, USA, June 2007.
13. D. Grayson and M. Stillman. Macaulay 2. Available at http://www.math. uiuc.edu/Macaulay2/, 1993-2002. An open source computer algebra software.
14. J. A. Grunert. Das pothenot'sche problem, in erweiterter gestalt; nebst bemerkungen über seine anwendung in der geodäsie. Archiv der Mathematik und Physik, 1:238-248, 1841.
15. R. M. Haralick, C. Lee, K. Ottenberg, and M. Nölle. Analysis and solutions for the three point perspective pose estimation problem. In Proc. Conf. Computer Vision and Pattern Recognition, pages 592-598, 1991.
16. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2004. Second Edition.
17. H. Jin. A three-point minimal solution for panoramic stitching with lens distortion. Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pages 1-8, June 2008.
18. K. Josephson, M. Byröd, F. Kahl, and K. Åström. Imagebased localization using hybrid feature correspondences. In The second international ISPRS workshop BenCOS 2007, Towards Benchmarking Automated Calibration, Orientation, and Surface Reconstruction from Images, 2007.
19. Z. Kukelova, M. Bujnak, and T. Pajdla. Automatic generator of minimal problem solvers. In Proc. 10th European Conf. on Computer Vision, Marseille, France, 2008.
20. Z. Kukelova and T. Pajdla. A minimal solution to the autocalibration of radial distortion. In CVPR, 2007.
21. H. Li. A simple solution to the two-view focal-length algorithm. In Proc. 9th European Conf. on Computer Vision, Graz, Austria, 2006.
22. H. Li and R. Hartley. A non-iterative method for lens distortion correction from point matches. In Workshop on Omnidirectional Vision, Beijing China, Oct. 2005.
23. D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision, 2004.
24. J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust widebaseline stereo from maximally stable extremal regions. Image Vision Computing, 22(10):761-767, 2004.
25. N. Snavely, S.M. Seitz, and R. Szeliski. Modeling the world from internet photo collections. International Journal of Computer Vision, 2007.
26. H. Stewénius. Gröbner Basis Methods for Minimal Problems in Computer Vision. PhD thesis, Lund University, 2005.
27. H. Stewénius, C. Engels, and D. Nistér. Recent developments on direct relative orientation. ISPRS Journal of Photogrammetry and Remote Sensing, 60:284-294, June 2006.
28. B. Triggs. Camera pose and calibration from 4 or 5 known 3d points. In Proc. 7th Int. Conf. on Computer Vision, Kerkyra, Greece, pages 278-284. IEEE Computer Society Press, 1999.