Vision for robotic object manipulation in domestic settings

Robotics and Autonomous Systems

Volumn 52, Issue 1, 2005, Pages 85-100

  Kragic, Danica ^a   Björkman, Mårten ^a   Christensen, Henrik I ^a   Eklundh, Jan Olof ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Cognitive systems; Object manipulation; Object recognition; Service robots

Indexed keywords

ALGORITHMS; CAMERAS; COGNITIVE SYSTEMS; IMAGE SEGMENTATION; INFORMATION ANALYSIS; OBJECT RECOGNITION; ROBOTICS;

OBJECT MANIPULATION; SERVICE ROBOTS; TEACH-BY-SHOWING APPROACH; VISUAL SERVOING;

COMPUTER VISION;

EID: 20744439814     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2005.03.011     Document Type: Conference Paper

References (30)

1. S. Hutchinson, G. Hager, and P. Corke A tutorial on visual servo control IEEE Trans. Robot. Autom. 12 5 1996 651 670
2. D.H. Ballard Animate vision Artif. Intel. 48 1 1991 57 86
3. M. Björkman, and D. Kragic Combination of foveal and peripheral vision for object recognition and pose estimation Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'04 5 2004 5135 5140
4. S. Kim, I. Kim, and I. Kweon Robust model-based 3d object recognition by combining feature matching with tracking Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'03 2003 2123 2128
5. E. Malis, G. Chesi, and R. Cipolla 2 1/2 d Visual servoing with respect to planar contours having complex and unknown shapes Int. J. Robot. Res. 22 10-11 2003 841 854
6. D. Kragic, and H. Christensen A framework for visual servoing Proceedings of the International Conference on Computer Vision Systems, ICVS 2003 2003 345 354
7. S. Benhimane, and E. Malis Vision-based control with respect to planar and non-planar objects using a zooming camera IEEE IEEE International Conference on Advanced Robotics, vol. 2 2003 991 996
8. S. Vinoski CORBA: integrating diverser applications within distributed heterogeneous environments IEEE Commun. Mag. 14 2 1997
9. M. Björkman, and J.-O. Eklundh Real-time epipolar geometry estimation of binocular stereo heads IEEE Trans. Pattern Anal. Mach. Intel. 24 3 2002 425 432
10. M. Björkman, Real-time motion and stereo cues for active visual observers, Doctoral dissertation, Computational Vision and Active Perception Laboratory (CVAP), Royal Inst. of Technology, Stockholm, Sweden, 2002.
11. C. Harris, and M. Stephens A combined corner and edge detector Proc. Alvey Vision Conference 1988 147 151
12. M. Fischler, and R. Bolles Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography Communications of the ACM, vol. 24 1981 381 395
13. P.J. Huber Robust Statistics 1981 John Willey and Sons
14. H. Longuet-Higgins The interpretation of a moving retinal image Philos. Trans. R. Soc. Lond., B 208 1980 385 397
15. H. Longuet-Higgins, A computer algorithm for reconstructing a scene from two projections, Nature 293 (1981) 133-135.
16. S.E. Palmer Vision Science: Photons to Phenomenology 1999 MIT Press Cambridge, MA
17. L. Itti, C. Koch, and E. Niebur A model of saliency-based visual attention for rapid scene analysis IEEE Trans. Pattern Anal. Mach. Intel. 20 11 1998 1254 1259
18. M. Björkman, and J.-O. Eklundh Attending, foveating and recognizing objects in real world scenes Proceedings of British Machine Vision Conference, BMVC'04 2004
19. D. Comaniciu, V. Ramesh, and P. Meer Real-time tracking of non-rigid objects using mean shift Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 2000 142 151
20. M. Zillich, D. Roobaert, and J.O. Eklundh A pure learning approach to background-invariant object recognition using pedagogical support vector learning CVPR-2001, IEEE Kauai 2001
21. D. Kragic, Visual servoing for manipulation: robustness and integration issues, Ph.D. thesis, Computational Vision and Active Perception Laboratory (CVAP), Royal Institute of Technology, Stockholm, Sweden, 2001.
22. K. Konolige Small vision systems: hardware and implementation International Symposium on Robotics Research 1997 203 212
23. V. Kolmogorov, and R. Zabih Computing visual correspondence with occlusions using graph cuts Proceedings of the IEEE International Conference Computer Vision 2001 508 515
24. D.G. Lowe Object recognition from local scale-invariant features Proceedings of the IEEE International Conference on Computer Vision (ICCV 99) 1999 1150 1157
25. S. Ekvall, F. Hoffmann, and D. Kragic Object recognition and pose estimation for robotic manipulation using color cooccurrence histograms Proceedings of the IEEE/RSJ International Conference Intelligent Robots and Systems, IROS'03 2003
26. D. Kragic, A. Miller, and P. Allen Real-time tracking meets online grasp planning Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'01 3 2001 2460 2465
27. D. Kragic, and H. Christensen Weak models and cue integration for real-time tracking Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'02 3 2002 3044 3049
28. D. Kragic, and H. Christensen Confluence of parameters in model based tracking Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'03 3 2003 3485 3490
29. P. Chang, and J. Krumm Object recognition with color cooccurrence histograms Proceedings of the IEEE International Conference Computer Vision and Pattern Recognition 1999 498 504
30. K. Mikolajczyk, and C. Schmid Indexing based on scale invariant interest points Proceedings of the IEEE International Conference Computer Vision, ICCV'01 2001 525 531