Knowledge based image understanding by iterative optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1137, Issue , 1996, Pages 288-301

  Niemann, H ^a,b   Fischer, V ^a,c   Paulus, D ^a   Fischer, J ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b Forschungsgruppe Wissensverarbeitung   (Germany)

^c IBM   (Germany)

Author keywords

Iterative optimization; Knowledge based image analysis; Semantic network

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; IMAGE ANALYSIS; IMAGE SEGMENTATION; ITERATIVE METHODS; KNOWLEDGE BASED SYSTEMS; SEMANTICS; SIMULATED ANNEALING;

AUTOMATIC CONVERSION; INITIAL SEGMENTATION; ITERATIVE OPTIMIZATION; KNOWLEDGE BASED; KNOWLEDGE BASED IMAGE INTERPRETATION; OPTIMIZATION PROBLEMS; SEMANTIC NETWORK; SPEECH UNDERSTANDING;

OPTIMIZATION;

EID: 84958523215     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-61708-6_68     Document Type: Conference Paper

References (24)

1. T. Matsuyama and V. Hwang. SIGMA: A Knowledge-based Aerial Image Understanding System. Plenum Press, New York, 1990.
2. I. Masaki, editor. Vision-Based Vehicle Guidance. Springer, Berlin, 1992.
3. O. Faugeras. Three-Dimensional Computer Vision. Artificial Intelligence Series. The MIT Press, Cambridge, MA, 1993.
4. H. Niemann. Pattern Analysis and Understanding. Springer Series in Information Sciences 4. Springer, Berlin. 2. edition, 1990.
5. P. Krause and D. Clark. Representing Uncertain Knowledge. Intellect Books, Oxford, 1993.
6. J.F. Sowa, editor. Principles of Semantic Networks, Morgan Kaufmann, San Mateo, Calif., 1991.
7. H. Niemann, G. Sagerer, S. Schröder, and F. Kummert. ERNEST: A semantic network system for pattern understanding. IEEE Trans, on Pattern Analysis and Machine Intelligence, 9:883-905, 1990.
8. A. Kobsa. The SB-ONE knowledge representation workbench. SFB 314 (XTRA), Memo Nr. 31, Univ. des Saarlandes, FB 10, Saarbrücken, F. R. of Germany, 1989.
9. D. Paulus, A. Winzen, and H. Niemann. Knowlege based object recognition and model generation. In Proc. Europto 93, Computer Vision for Industry, pages 382393, Miinchen, 1994. SPIE Proc. No. 1989-47.
10. A. Winzen. Automatische Erzengung dreidimensionaler Modelle für Bildanaly- sesysteme. Dissertation, Technische Fakultät, Universität Erlangen-Nürnberg, Erlangen, (1994).
11. H. Niemann, H. Bunke, I. Hofmann, G. Sagerer, F. Wolf, and H. Feistel. A knowledge based system for analysis of gated blood pool studies. IEEE Trans. Pattern Analysis and Machine Intelligence, 7:246-259, 1985.
12. H. Niemann, H. Brünig, R. Salzbrunn, and S. Schröder. A knowledge-based vision system for industrial applications. Machine Vision and Applications, 3:201-229, 1990.
13. H. Burkhardt, Y. Neuvo, and J. Simon, editors. From Pixels to Features II. Parallelism in Image Processing. North-Holland, Amsterdam, 1991.
14. L. Shastri. Semantic Networks: An Evidential Formalization and its Connectionist Realization. Research Notes in Artificial Intelligence. Pitman and Morgan Kaufmann Publishers, Inc., London and San Mateo, Calif., 1988.
15. V. Fischer and H. Niemann. Parallelism in a semantic network for image understanding. In A. Bode and M. Dal Cin, editors, Parallel Computer Architectures. Theory, Hardware, Software, Applications, volume 732 of Lecture Notes in Computer Science, pages 203-218. Springer-Verlag, Berlin, 1993.
16. V. Fischer. Parallelverarbeitung in einem semantischen Netzwerk für die wissens-basierte Musteranalyse. Dissertation, Technische Fakultät, Universität Erlangen- Niirnberg, Erlangen, 1995.
17. B.W. Wah, G. Li, and C. Yu. Multiprocessing of combinatorial search problems. In [24], pages 103-145. 1990.
18. N. Metropolis, A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller. Equation of state calculations for fast computing machines. Journal of Chemical Physics, 21(6):1087-1092, 1953.
19. L. Booker, D. Goldberg, and J. Holland. Classifier systems and genetic algorithms. Artificial Intelligence, 40(l-3):235-282, 1989.
20. S. Steuer. Erstellung eines ersten Modells in ERIMESTzur Identifikation der Strafie und der Position des Kamerafahrzeugs im statischen Bild. Technical Report 3.2.B1 Projekt MOVIE, Bayerisches Forschungszentrum für Wissensbasierte Systeme (FORWISS) und Bayerische Motorenwerke AG (BMW AG), Miinchen, 1991.
21. G. Dueck and T. Scheuer. Threshold accepting: A general purpose optimization algorithm appearing superior to simulated annealing. Journal of Computational Physics, 90(1):161-175, 1990.
22. G. Dueck. New optimization heuristics: The great deluge algorithm and the record- to-record-travel. Journal of Computational Physics, 104(l):86-92, 1993.
23. V. Fischer, J. Fischer, and H. Niemann. An algorithm for any-time speech understanding. In German Slovenian Workshop on Image and Speech Understanding, to appear, Ljubljana, 1996.
24. V. Kumar, P. Gopalakrishnan, and L. Kumar, editors. Parallel Algorithms for Machine Intelligence and Vision. Springer-Verlag, New York, 1990.