Linear pose estimation from points or lines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2353, Issue , 2002, Pages 282-296

  Ansar, Adnan ^a   Daniilidis, Kostas ^b  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED REALITY; ITERATIVE METHODS; NONLINEAR PROGRAMMING;

CLOSED FORM SOLUTIONS; GEOMETRIC CONSTRAINT; ITERATIVE APPROACH; LINEAR ALGORITHMS; NON-LINEAR OPTIMIZATION; POSE ESTIMATION; REAL-TIME APPLICATION; WORLD COORDINATES;

COMPUTER VISION;

EID: 84937550291     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47979-1_19     Document Type: Conference Paper

References (26)

1. Y.I. Abdel-Aziz and H.M. Karara. Direct linear transformation into object space coordinates in close-range photogrammetry. Proc. Symp. Close-Range Photogram-metry, pages 1–18, 1971.
2. A. Ansar. Registration for Augmented Reality. Doctoral Disstertation, University of Pennsylvania, December, 2001.
3. R.T. Azuma. A survey of augmented reality. Presence: Teleoperators and Virtual Environments, 7:355–385, 1997.
4. D. Dementhon and L.S. Davis. Model-based object pose in 25 lines of code. International Journal of Computer Vision, 15:123–144, 1995.
5. M. Dhome, M. Richetin, J.T. Lapreste, and G. Rives. Determination of the attitude of 3-d objects from a single perspective view. IEEE Trans. Pattern Analysis and Machine Intelligence, 11:1265–1278, 1989.
6. R.M. Haralick et al. Pose estimation from corresponding point data. IEEE Trans. Systems, Man, and Cybernetics, 19(6):1426–1446, 1989.
7. P.D. Fiore. Efficient linear solution of exterior orientation. IEEE Trans. Pattern Analysis and Machine Intelligence, 23:140–148, 2001.
8. 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, 24:381–395, 1981.
9. S. Ganapathy. Decomposition of transformation matrices for robot vision. In Proc. IEEE Int. Conf. on Robotics and Automation, pages 130–139, 1984.
10. R. Haralick, C. Lee, K. Ottenberg, and M. Nölle. Analysis and solutions of the three point perspective pose estimation problem. In IEEE Conf. Computer Vision and Pattern Recognition, pages 592–598, Maui, Hawaii, June 3-6, 1991.
11. R. Horaud, B. Conio, O. Leboulleux, and B. Lacolle. An analytic solution for the perspective 4-point problem. Computer Vision, Graphics, and Image Processing, 47:33–44, 1989.
12. B.K.P. Horn. Closed-form solution of absolute orientation using quaternions. Journal Opt. Soc. Am. A, 4A:629–642, 1987.
13. B.K.P. Horn. Relative orientation. International Journal of Computer Vision, 4:59–78, 1990.
14. B.K.P. Horn, H.M. Hilden, and S. Negahdaripour. Closed-form solution of absolute orientation using orthonormal matrices. Journal Opt. Soc. Am. A, 5A:1127–1135, 1988.
15. T.S. Huang, A.N. Netravali, and H.H. Chen. Motion and pose determination using algebraic methods. In V. Cappellini, editor, Time-Varying Image Processing and Moving Object Recognition, 2, pages 243–249. Elsevier Science Publication, 1990.
16. R. Kumar and A. R. Hanson. Robust methods for estimaging pose and a sensitivity analysis. Computer Vision and Image Understanding, 60:313–342, 1994.
17. R. Lenz and R.Y. Tsai. Techniques for calibration of the scale factor and image center for high accuracy 3-d machine vision metrology. IEEE Trans. Pattern Analysis and Machine Intelligence, 10:713–720, 1988.
18. Y. Liu, T.S. Huang, and O.D. Faugeras. Determination of camera location from 2-d to 3-d line and point correspondences. IEEE Trans. Pattern Analysis and Machine Intelligence, 12:28–37, 1990.
19. D.G. Lowe. Fitting parameterized three-dimensional models to images. IEEE Trans. Pattern Analysis and Machine Intelligence, 13:441–450, 1991.
20. C.-P. Lu, G. Hager, and E. Mjolsness. Fast and globally convergent pose estimation from video images. IEEE Trans. Pattern Analysis and Machine Intelligence, 22:610–622, 2000.
21. S. Maybank. Theory of Reconstruction from Image Motion. Springer-Verlag, Berlin et al., 1993.
22. N. Navab and O.D. Faugeras. Monocular pose determination from lines: Critical sets and maximum number of solutions. In IEEE Conf. Computer Vision and Pattern Recognition, pages 254–260, New York, NY, June 15-17, 1993.
23. L. Quan and Z. Lan. Linear n-point camera pose determination. IEEE Trans. Pattern Analysis and Machine Intelligence, 21:774–780, 1999.
24. G.W. Stewart and Jig. Sun. Matrix Perturbation Theory. Academic Press, Inc., Boston, MA, 1990.
25. E.H. Thompson. Space resection: Failure cases. Photogrammetric Record, 10:201–204, 1966.
26. S. Yi, R.M. Haralick, and L.G. Shapiro. Error propagation in machine vision. MVA, 7:93–114, 1994.