Grasping and tracking using constant curvature dynamic contours

International Journal of Robotics Research

Volumn 22, Issue 10-11, 2003, Pages 855-871

  Perrin, Douglas P ^a   Kadioglu, Esra ^b   Stoeter, Sascha A ^b   Papanikolopoulos, Nikolaos ^b  

^a HARVARD UNIVERSITY   (United States)

^b University of Minnesota   (United States)

Author keywords

Active deformable models; Real time computer vision; Snakes; Visual servoing and grasping

Indexed keywords

CALIBRATION; CAMERAS; COMPUTATIONAL METHODS; EDGE DETECTION; FEATURE EXTRACTION; GRIPPERS; IMAGE SENSORS; MOBILE ROBOTS; OBJECT RECOGNITION; REAL TIME SYSTEMS; ROBOTICS; STATISTICAL METHODS;

CONSTANT CURVATURE DYNAMIC CONTOURS; REAL TIME VISION; VISUAL SERVOING;

COMPUTER VISION;

EID: 0142123162     PISSN: 02783649     EISSN: None     Source Type: Journal    
DOI: 10.1177/027836490302210005     Document Type: Article

References (34)

1. Allen, P., Timcenko, A., Yoshimi, B., and Michelman, P. 1993. Automated tracking and grasping of a moving object with a robotic hand-eye system. IEEE Transactions on Robotics and Automation 9(2):152-165.
2. Amini, A., Tehrani, S., and Weymouth, T. 1990. Using dynamic programming for minimizing the energy of active contours in the presence of hard constraints. In Proceedings of the 2nd International Conference on Computer Vision, pp. 95-99.
3. Bendiksen, A., and Hager, G. 1994. A vision-based grasping system for unfamiliar planar objects. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2844-2849.
4. Bicchi, A., and Kumar, V. 2000. Robotic grasping and contact: A review. In Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, pp. 348-353.
5. Boyer, K. L., and Kak, A. C. 1987. Color-encoded structured light for rapid active ranging. IEEE Transactions on Pattern Analysis and Machine Intelligence 9(1):14-28.
6. Bradly, M., Grimson, W., and Langridge, D. 1980. Shape encoding and subjective contours. In Proceedings of the American Association of Artificial Intelligence.
7. Brigger, P., Hoeg, J., and Unser, M. 2000. B-spline snakes: a flexible tool for parametric contour detection. IEEE Transactions of Image Processing 9(9):1484-1496.
8. Burr, D. 1986. Elastic matching of line drawings. IEEE Transactions on Pattern Analysis and Machine Intelligence 3(6):708-713.
9. Cohen, L. D. 1991. On active contour models and balloons. CVGIP: Image Understanding 53(2):211-218.
10. Covell, M., and Darrell, T. 1999. Dynamic occluding contours: a new external-energy term for snakes. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2:232-238.
11. Faugeras, O. 1993. Three-Dimensional Computer Vision. MIT Press, Cambridge, MA.
12. Faverjon, B., and Ponce, J. 1991. On computing two-finger force-closure grasps of curved 2D objects. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 424-429.
13. Horn, B. K. P. 1986. Robot Vision. MIT Press, Cambridge, MA.
14. Ivins, J., and Porrill, J. 1994. Active region models for segmenting medical images. In Proceedings of the IEEE International Conference on Image Processing, pp. 227-231.
15. Jain, R., Kasturi, R., and Schunck, B. 1995. Machine Vision. McGraw-Hill, New York.
16. Kass, M., Witkin, A., and Terzopoulos, D. 1987. Snakes: active contour models. In Proceedings of the First International Conference on Computer Vision, pp. 259-268.
17. Marr, D. 1994. Vision: A computational investigation into the human representation and processing of the visual information. W. H. Freeman and Co., San Francisco, CA.
18. Matthies, L., Kanade, T., and Szeliski, R. 1989. Kalman filter-based algorithms for estimating depth from image sequences. International Journal of Computer Vision 3(3):209-238.
19. Osher, S., and Sethian, J. A. 1988. Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79:12-49.
20. Perrin, D., and Smith, C. 2001. Rethinking curvature for dynamic contours. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 2, pp. 615-620.
21. Perrin, D., Masoud, O., Smith, C. E., and Papanikolopoulos, N. P. 2000. Unknown object grasping using statistical pressure models. In Proceedings of the 2000 IEEE International Conference on Robotics and Automation, April, pp. 1054-1059.
22. Ronfard, R. 1994. Region-based strategies for active contour models. International Journal of Computer Vision 13(2):229-251.
23. Rößler, P., Stoeter, S. A., Rybski, P. E., and Papanikolopoulos, N. 2002. Visual servoing of a miniature robot toward a marked target. Technical Report 02-005, University of Minnesota, Department of Computer Sicence and Engineering, Minneapolis, MN, USA.
24. Rybski, P. E., Papanikolopoulos, N. P., Stoeter, S. A., Krantz, D. G., Yesin, K. B., Gini, M., Voyles, R., Hougen, D. F. , Nelson, B., and Erickson, M. D. 2000. Enlisting rangers and scouts for reconnaissance and surveillance. IEEE Robotics and Automation Magazine 7(4):14-24.
25. Smith, C. E., and Papanikolopoulos, N. P. 1994. Computation of shape through controlled active exploration. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2516-2521.
26. Smith, C., and Papanikolopoulos, N. 1997. Grasping of static and moving objects using a vision-based control approach. Journal of Intelligent and Robotic Systems: Theory and Applications 19:237-270.
27. Stewart, D., Schmitz, D., and Khosla, P. 1989. Chimera ii: A real-time multi-processing environment for sensor-based robot control. In Proceedings of the 4th International Symposium on Intelligent Control, pp. 265-271.
28. Sullivan, M., and Papanikolopoulos, N. 1996. Using active-deformable models to track deformable objects in robotic visual servoing experiments. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2929-2934.
29. Taylor, M., Blake, A., and Cox, A. 1994. Visually guided grasping in 3D. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 761-766.
30. Tomasi, C., and Kanade, T. 1992. Shape and motion from image streams under orthography: a factorization method. International Journal of Computer Vision 9(2):137-154.
31. Williams, D., and Shah, M. 1992. A fast algorithm for active contours and curvature estimation. CVGIP: Image Understanding 55(1):14-26.
32. Xu, C., and Prince, J. 1998. Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing 7(3):359-369.
33. Yoshimi, B., and Allen, P. 1994. Visual control of grasping and manipulation tasks. In Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 575-582.
34. Yu, L.-Y., and Dyer, C. 2001. Perception-based 2D shape modeling by curve shaping. In Proceedings of the 4th International Workshop on Visual Form, Lecture Notes in Computer Science. Springer-Verlag, Berlin.