Stereo image processing and virtual reality in an intelligent robot control system

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 27, Issue 1-2, 2000, Pages 113-134

  Tél, Ferenc ^a   Tóth, Ervin ^a  

^a BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; CONTROL SYSTEM ANALYSIS; INTELLIGENT CONTROL; MOTION CONTROL; MOTION PLANNING; OBJECT RECOGNITION; ROBOT PROGRAMMING; STEREO VISION; VIRTUAL REALITY;

INTELLIGENT ROBOT CONTROL SYSTEMS;

INTELLIGENT ROBOTS;

EID: 0342960920     PISSN: 09210296     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008154214621     Document Type: Article

References (25)

1. Avidan, S. and Shashua, A.: Tensor embedding of the fundamental matrix, Post-ECCV SMILE Workshop, Institute of Computer Science, Frieburg, Germany, June 1998, Lecture Notes in Comput. Sci., Vol. 1506, Springer, Berlin. Internet: http://www.cs.huji.ac.il/~shashua/.
2. Bejczy, A. K.: Calibrated virtual reality in telerobotics, California Institute of Technology, Pasadena, CA, USA, 1996.
3. Boufama, B., Mohr, R., and Veillon, F.: Euclidean constraints for uncalibrated reconstruction, in: Proc. of the 4th Internat. Conf. on Computer Vision, Berlin, Germany, May 1993, pp. 466-470. Internet: http://www.inrialpes.fr/movi/pub/Publications/en/par_annee.html.
4. Csurka, G., Demirdjian, D., and Horau, R.: Finding the collineation between two projective reconstructions, INRIA Research Report No. 3468, August 1998. Internet: http://www. inrialpes.fr/movi/people/Horaud/Radu-publications.html.
5. Devernay, F. and Faugeras, O. D.: From projective to Euclidean reconstruction, INRIA, France, CVPR '96. Internet: ftp://ftp.inria.fr/TNRIA/tech-reports/RR/RR-2725.ps.gz.
6. Faugeras, O. D.: Three-Dimensional Computer Vision (A Geometric Viewpoint), MIT Press, Cambridge, MA, 1992, pp. 62-63.
7. Faugeras, O. D.: What can be seen in three dimensions with an uncalibrated stereo rig, in: Proc. of the 2nd European Conf. on Computer Vision, G. Sandini (ed.), Springer, Santa Margherita ligure, Italy, 1992, pp. 563-578.
8. Glassner, A. S.: Graphics Gems I, Academic Press, New York, 1990.
9. Gottschalk, S., Lin, M. C., and Manocha, D.: OBB tree: A hierarchical structure for rapid interference detection, in: Proc. of the 1996 SIGGRAPH Conf., University of North Carolina, Chapel Hill, 1996. Internet: http://www.cs.unc.edu/~lin/papers.html.
10. Hartley, I. R.: Projective reconstruction from line correspondences, in: Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 1994, pp. 903-907.
11. Hartley, I. R.: Lines and points in three views and the trifocal tensor, Internat. J. Computer Vision 22(2) (1997), 125-140.
12. Jonathan, D., Lin, M. C., Manocha, D., and Ponamgi, M. K.: I-COLLIDE: An Interactive and Exact Collision Detection System, University of North Carolina, Chapel Hill, 1995. Internet: http://haptic.mech.nwu.edu/library/cohenj/acm95
13. Lantos, B.: 3D Képfeldolgozási módszerek, manuscript, Technical University of Budapest, 1994 (in Hungarian).
14. Lantos, B.: Some possibilities to increase the intelligence in the development and application of robots, in: Proc. of the INES '98, Vienna, Austria, 1998, pp. 7-18.
15. Lantos, B., Klatsmányi, P., Ludvig, L., and Tél, F.: Intelligent control system of a robot with dextrous hand, in: Proc. of the IEEE Internat. Conf. on Intelligent Engineering Systems INES'97, Budapest, 1997, pp. 129-134.
16. Luong, Q. T. and Faugeras, O. D.: The fundamental matrix: Theory, algorithms and stability analysis, Internat. J. Computer Vision 17(1) (1995), 43-76.
17. Maekawa, H. and Hollerbach, J. M.: Haptic display for object grasping and manipulating in virtual environment, in: Proc. of the IEEE Internat. Conf. on Robotics and Automation, Leuven, Belgium, 1998. Internet: http://www.cs.utah.edu/~jmh/Recent.html.
18. Mohr, R., Quan, L., and Veillon, F.: Relative 3D reconstruction using multiple uncalibrated images, Internat. J. Robotics Res. 14(6) (1995), 619-632.
19. Pope, A. R.: Learning to recognize objects in images: Acquiring and using probabilistic models of appearance, PhD Thesis, The University of British Columbia, 1995.
20. Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T.: Numerical Recipes in C, Cambridge Univ. Press, Cambridge, 1988, pp. 681-688.
21. Shashua, A.: The fundamental construct of multiple view geometry and its applications, Institute of Computer Science, The Hebrew University, 1997. Internet: http://www.cs.huji.ac. il/~shashua/.
22. Shashua, A. and Werman, M.: Fundamental tensor: On the geometry of three perspective views, Institute of Computer Science, The Hebrew University, 1995. Internet: http://www. cs.huji.ac.il/labs/vision/biblo.html.
23. Torr, P. H. S. and Zisserman, A.: Robust parametrization and computation of the trifocal tensor, Image Vision Computing 15 (1997), 591-605. Internet: http://imogen.robots. ox.ac.uk:20000/~geoff/papers.cgi.
24. Welch, G. and Bishop, G.: An Introduction to the Kalman Filter, University of North Carolina, Chapel Hill, 1997. Internet: http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html.
25. Wells, W. M.: Statistical object recognition, PhD Thesis, MIT Press, Cambridge, MA, 1993.