Iterative Pose Estimation Using Coplanar Feature Points

Computer Vision and Image Understanding

Volumn 63, Issue 3, 1996, Pages 495-511

  Oberkampf, Denis ^a,b   DeMenthon, Daniel F ^b   Davis, Larry S ^b  

^a THALES   (France)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; FEATURE EXTRACTION; IMAGING TECHNIQUES; ITERATIVE METHODS; PARAMETER ESTIMATION; SIGNAL INTERFERENCE; VIDEO CAMERAS;

COPLANAR FEATURE POINTS; IMAGE NOISE; ITERATIVE POSE ESTIMATION; LONG DISTANCE IMAGERY; SCALED ORTHOGRAPHIC PROJECTION APPROXIMATION; SHORT DISTANCE IMAGERY;

IMAGE ANALYSIS;

EID: 0030142835     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1006/cviu.1996.0037     Document Type: Article

References (12)

1. M. A. Abidi and T. Chandra, A New Efficient and Direct Solution for Pose Estimation Using Quadrangular Targets: Algorithm and Evalnation, Department of Electrical and Computer Engineering, The University of Tennessee, July 1991, to be published in IEEE Trans. Pattern Anal. Mach. Intelligence.
2. D. F. DeMenthon and L. S. Davis, Model-based object pose in 25 Unes of code, in Second European Conf. Computer Vision, May 1992 (G. Sandini, Ed.), Lecture Notes in Computer Science, Springer-Verlag, Berlin/New York; extended version, Int. J. Comput. Vision 15(1995), 123-141.
3. M. A. Fischler and R. C. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Comm. ACM, 24 (1981), 381-395.
4. R. M. Haralick, C. Lee, K. Ottenberg, and M. Nölle, Analysis and solutions of the three point perspective pose estimation problem, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Maui, HI, June 1991, pp. 592-598.
5. R. M. Haralick, Determining camera parameters from the perspective projection of a rectangle, Pattern Recognition 22 (1989), 225-230.
6. R. J. Holt and A. N. Netravali, Camera calibration: Some new results, CVGIP: Image Understanding 54 (1991), 368-383.
7. R. Horaud, B. Conio, O. Leboulleux, and B. Lacolle, An analytic solution for the perspective 4-point problem, Computer Vision, Graphics, Image Process. 47 (1989), 33-44.
8. D. Huttenlocher and S. Ullman, Recognizing Solid Objects by Alignment, in Proc. DARPA Image Understanding Workshop, 1988, pp. 1114-1122.
9. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Verterling, Numerical Recipes in C, Cambridge Univ. Press, Cambridge, U.K. 1988.
10. D. Oberkampf, D. F. DeMenthon, and L. S. Davis, Iterative Pose Estimation Using Coplanar Feature Points, Center for Automation Research Technical Report CAR-TR-677, University of Maryland, July 1993.
11. W. J. Wolfe, D. Mathis, C. W. Sklair, and M. Magee, The perspective view of three points, IEEE Trans. Pattern Anal. Mach. Intelligence 13 (1991), 66-73.
12. J. S. C. Yuan, A general photogrammetric method for determining object position and orientation, IEEE Trans. Robot. Automation 5, (1989), 129-142.