From image features to symbols and vice versa - Using graphs to loop data- and model-driven processing in visual assembly recognition

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 18, Issue 3, 2004, Pages 497-517

  Bauckhage, Christian ^a   Braun, Elke ^a   Sagerer, Gerhard ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

Assembly recognition; Graph matching; Machine learning; Vision systems

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER VISION; DATA REDUCTION; ERROR ANALYSIS; GRAPH THEORY; HIERARCHICAL SYSTEMS; IMAGE ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

ASSEMBLY RECOGNITION; GRAPH MATCHING; KNOWLEDGE PROPAGATION; VISION SYSTEMS;

PATTERN RECOGNITION;

EID: 3142697627     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001404003198     Document Type: Article

References (21)

1. C. Bauckhage, G. A. Fink, J. Fritsch, F. Kummert, F. Lömker, G. Sagerer and S. Wachsmuth, An integrated system for cooperative man-machine interaction, in Proc. IEEE Int. Symp. Computational Intelligence in Robotics and Automation (CIRA), 2001, pp. 328-333.
2. C. Bauckhage, S. Kronenberg, F. Kummert and G. Sagerer, Grammars and discourse theory to describe and recognize mechanical assemblies, Advances in Pattern Recognition, eds. F. J. Ferri, J. M. Iñesta, A. Amin and P. Pudil, Lecture Notes in Computer Science, Vol. 1876 (Springer-Verlag, 2000), pp. 173-182.
3. C. Bauckhage, F. Kummert and G. Sagerer, Learning assembly sequence plans using functional models, in Proc. IEEE Int. Symp. Assembly and Task Planning (ISATP), 1999, pp. 1-7.
4. C. Bauckhage, S. Wachsmuth and G. Sagerer, 3D assembly recognition by matching functional subparts, in Proc. IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition (GbR), 2001, pp. 95-104.
5. E. Braun, G. Heidemann, H. Ritter and G. Sagerer, A multi-directional multiple path recognition scheme for complex objects applied to the domain of a wooden toy kit, Patt. Recogn. Lett. 20 (1999) 1085-1091.
6. H. Bunke, Graph matching for visual object recognition, Spat. Vis. 13 (2000) 335-340.
7. H. Bunke and B. T. Messmer, Recent advances in graph matching, Int. J. Pattern Recognition and Artificial Intelligence 11 (1997) 169-203.
8. H. I. Christensen (ed.), Computer Vision Systems, Lecture Notes in Computer Science, Vol. 1542 (Springer-Verlag, 1999).
9. T. L. De Fazio, S. J. Rhee and D. E. Whitney, Design-specific approach to design for assembly (DFA) for complex mechanical assemblies, IEEE Trans. Robot. Automat. 15 (1999) 869-881.
10. M. Ehrenmann, R. Zöllner, S. Knoop and R. Dillmann, Sensor fusion approaches for observation of user actions in programming by demonstration, in Proc. Int. Conf. Multisensor Fusion and Integration for Intelligent Systems, 2001, pp. 227-232.
11. O. Faugeras, Three-Dimensional Computer Vision (MIT Press, Cambridge, MA, 1993).
12. G. Heidemann and H. Ritter, Combining multiple neural nets for visual feature selection and classification, in Proc. Int. Conf. Artificial Neural Networks, 1999, pp. 365-370.
13. L. S. Homem de Mello and A. C. Sanderson, AND/OR graph representation of assembly plans, IEEE Trans. Robot. Automat. 6 (1990) 188-199.
14. K. Ikeuchi and T. Suehiro, Towards an assembly plan from observation. Part I: task recognition with polyhedral objects, IEEE Trans. Robot. Automat. 10 (1994) 368-385.
15. B. T. Messmer and H. Bunke, A new algorithm for error-tolerant subgraph isomorphism detection, IEEE Trans. Patt. Anal. Mach. Intell. 20 (1998) 493-504.
16. J. Miura and K. Ikeuchi, Task oriented generation of visual sensing strategies in assembly tasks, IEEE Trans. Patt. Anal. Mach. Intell. 20 (1998) 126-138.
17. J. A. Noble, From inspection to process understanding and monitoring: a view on computer vision in manufacturing, Imag. Vis. Comput. 13 (1995) 197-214.
18. G. Sagerer, C. Bauckhage, E. Braun, G. Heidemann, F. Kummert, H. Ritter and D. Schlüter, Integrating recognition paradigms in a multiple-path architecture, Advances in Pattern Recognition, eds. S. Singh, N. Murshed and W. Kropatsch, Lecture Notes in Computer Science, Vol. 2013 (Springer-Verlag, 2001) pp. 202-211.
19. B. Schiele and G. Sagerer (eds.), Computer Vision Systems, Lecture Notes in Computer Science, Vol. 2095 (Springer-Verlag, 2001).
20. M. Spengler and B. Schiele, Multi-object tracking: explicit knowledge representation and implementation for complexity reduction, in Proc. Cognitive Vision Workshop, September 2002, Zurich, Switzerland, pp. 11-18.
21. C.-P. Tung and A. C. Kak, Integrating sensing, task planning and execution for robotic assembly, IEEE Trans. Robot. Automat. 12 (1996) 187-201.