A performance study for camera pose estimation using visual marker based tracking

Machine Vision and Applications

Volumn 21, Issue 3, 2010, Pages 365-376

  Maidi, Madjid ^a   Didier, Jean Yves ^a   Ababsa, Fakhreddine ^a   Mallem, Malik ^a  

^a UNIVERSITY OF EVRY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL METHOD; CAMERA POSE ESTIMATION; DIRECT METHOD; EXECUTION TIME; EXPERIMENTAL PROTOCOLS; HYBRID ALGORITHMS; HYBRID APPROACH; NUMERICAL INSTABILITY; PERFORMANCE STUDY; POSE ESTIMATION; POSE PARAMETERS; PROCESSING TIME; ROBUST METHODS; VIRTUAL SCENES; VISION BASED; VISION-BASED TRACKING; VISUAL MARKERS;

AUGMENTED REALITY; CONVERGENCE OF NUMERICAL METHODS; ERRORS; GESTURE RECOGNITION; VIRTUAL REALITY;

PARAMETER ESTIMATION;

EID: 77953356557     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-008-0170-y     Document Type: Article

References (21)

1. Ababsa, F., Mallem, M.: Robust camera pose estimation using 2d fiducials tracking for real-time augmented reality systems. In: Proceedings of ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 2004), pp. 431-435. Nanyang, Singapore (2004).
2. Ansar, A., Daniilidis, K.: Linear pose estimation from points or lines. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 578-589 (2003).
3. Araujo, H., Carceroni, R., Brown, C.: A fully projective formulation for lowe's tracking algorithm. Technical Report 641, University of Rochester, New York, USA (1996).
4. Horn, B.K.B., Hilden, H., Negahdaripour, S.: Closed-form solution of absolute orientation using orthonormal matrices. J. Opt. Soc. Am. A 5, 1127-1135 (1988).
5. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679-698 (1986).
6. Chai, L., Hoff, W.A., Vincent, T.: Three-dimensional motion and structure estimation using inertial sensors and computer vision for augmented reality. Presence: teleoper. Virtual Environ. 11(5), 474-492 (2002).
7. Chen, J.H., Chen, C.S., Chen, Y.S.: Fast algorithm for robust template matching with m-estimators. IEEE Trans. Signal Process. 51(1), 36-45 (2003).
8. DeMenthon, D., Davis, L.S.: Exact and approximate solutions of the perspective-three-point problem. In: IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, pp. 1100-1105. IEEE Computer Society, Washington DC, USA (1992).
9. Dhome, M., Richetin, M., Lapreste, J.T., Rives, G.: Determination of the attitude of 3d objects from a single perspective view. In: IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, pp. 1265-1278. Washington DC, USA (1989).
10. Didier, J.Y.: Contributions à la déxtérité d'un système de réalité augmentée mobile appliqué à la maintenance industrielle. PhD Thesis, Univerité d'Évry, France (2005).
11. Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. In: Graphics and Image Processing, vol. 24, pp. 381-395 (1981).
12. Forstner, W.: Reliability analysis of parameter estimation in linear models with applications to mensuration problems in computer vision. In: Computer Vision, Graphics and Image Processing, vol. 40, pp. 273-310 (1987).
13. Jiang, B., You, S., Neumann, U.: Camera tracking for augmented reality media. In: IEEE International Conference on Multimedia and Expo (III), pp. 1637-1640 (2000).
14. Lowe, D.G.: Three-dimensional object recognition from single two-dimensional image. J. Artif. Intell. 31, 355-395 (1987).
15. Lu, C.P., Hager, G.D., Mjolsness, E.: Fast and globally convergent pose estimation from video images. IEEE Trans. Pattern Anal. Mach. Intell. 22(6), 610-622 (2000).
16. Maidi, M., Ababsa, F., Mallem, M.: Active contours motion based on optical flow for tracking in augmented reality. In: Proceedings of the 8th Virtual Reality International Conference, VRIC 2006. Laval, France (2006).
17. More, J.J.: The levenberg-marquardt algorithm, implementation and theory. J. Numer. Anal. 630, 105-116 (1977).
18. Quan, L., Lan, Z.D.: Linear n-point camera pose determination. IEEE Trans. Pattern Anal. Mach. Intell. 21(8), 774-780 (1999).
19. Haralick, R.M., Lee, C., Ottenberg, K., Nolle, M.: Analysis and solutions of the three point perspective pose estimation problem. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 592-598. Maui, Hawaii (1991).
20. Welch, G., Bishop, G.: An introduction to the kalman filter. Technical Report No. TR 95-041, Department of Computer Science, University of North Carolina, USA (2004).
21. Zhang, Z.: Flexible camera calibration by viewing a plane from unknown orientations. In: International Conference on Computer Vision, vol. 1, p. 666. Corfu, Greece (1999).