COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images

Eckart Michaelsen, Wolfgang Middelmann, Uwe Sörgel

Abstract

The laws of gestalt-perception play an important role in human vision. Psychological studies identified similarity, good continuation, proximity and symmetry as important inter-object relations that distinguish perceptive gestalts from arbitrary sets of clutter objects. Particularly, symmetry and continuation possess a high potential in detection, identification, and reconstruction of man-made objects. This contribution focuses on coding this principle in a full automatic production system. Such systems capture declarative knowledge. The procedural details are defined as control strategy for an interpreter. Often an exact solution is not feasible while approximately correct interpretations of the data with the production system are sufficient. Given input data and a given production system the control acts accumulative instead of reducing. The approach is assessment driven features any-time capability and fits well into the recently discussed paradigms of cognitive vision. An example from the automatic extraction of groupings and symmetry in man-made structure from high resolution SAR-image data is given. The contribution also discusses the relations of such endeavour to the “mid-level” of what is today proposed as “cognitive vision”.

References

  1. Cohn, A. G., Magee, D., Galata, A., Hogg, D., Hazarika, S. 2003. Towards an architecture for cognitive vision using qualitative spatio-temporal representations and abduction. In: Freksa, C., Brauer, W., Habel, C., Wender, K. F. (eds.) Spatial Cognition III, Routes and Navigation, Human Memory and Learning, Spatial Representation and Spatial Learning, Springer, Berlin pp. 232-248.
  2. Ender, J. H. G., Brenner, A. R., 2003. PAMIR - a wideband phased array SAR/MTI system. In: IEE Proceedings - Radar, Sonar, Navigation, Vol. 150, no. 3, pp. 165-172.
  3. Foerstner, W., 1994. A framework for low level feature extraction. In: Eklundh, J.-O. (ed). Computer Vision - ECCV 94. Vol. II, B1, pp. 383-394.
  4. Guo, C.-E., Zhu, S.C., Wu, Y. N. 2003. Modelling visual patterns by integrating descriptive and generative methods, IJCV, Vol. 53, No. 1, pp. 5-29.
  5. Draper, B., Collins, R., Brolio, J., Hanson, A., Riseman, E. 1989. The Schema System, IJCV, Vol. 2, pp. 209-250.
  6. Klausing, H., Holpp, W., 2000. Radar mit realer und synthetischer Apertur, Oldenburg Verlag, München.
  7. Laptev, I., Mayer, H., Lindeberg, T., Eckstein, W., Steger, C., Baumgartner, A., 2000. Automatic Extraction of Roads from Aerial Images Based on Scale Space and Snakes, Machine Vision and Applications, Vol. 12, No. 1, pp. 22-31.
  8. Leavers, V. F., 1993. Which Hough transform? CVGIP, Image Understanding, Vol. 58, No. 2, pp. 250-264.
  9. Lowe, D., G., 1985. Perceptual organization and visual recognition, Kluwer, Boston.
  10. Marr, D., 1982. Vision, Freeman, San Francisco.
  11. Matsuyama, T., Hwang, V. S.-S., 1990. Sigma a knowledge-based image understanding system, Plenum Press, New York.
  12. Medioni, G., Lee, M., Tang, C., 2000. A computational framework for segmentation and grouping. Elsevier, Amsterdam.
  13. Michaelsen E. 1998a. Über Koordinaten Grammatiken zur Bildverarbeitung und Szenenanalyse. Diss., Univ. of Erlangen, available online as www.exemichaelsen.de/Michaelsen_Diss.pdf
  14. Michaelsen E., Stilla U. 1998b. Remark on the notation of coordinate grammers. In: Armin A., Dori D., Pudil P., Freeman H. (eds.) Advances in pattern recognition, JOINT IAPR Int. Workshop SPR-SSPR. Springer, Berlin, pp. 421-428
  15. Michaelsen E., Stilla U. 2002. Probabilistic Decisions in Production Nets: An Example from Vehicle Recognition. In: Caelli T., Amin A., Duin R. P. W., Kamel M., Ridder D. de (eds): Structural, Syntactic and Statistical Pattern Recognition SSPR/SPR 2002, LNCS 2396, Springer, Berlin, pp. 225-233.
  16. Michaelsen, E., Soergel, U. Stilla, U., 2002. Grouping salient scatterers in InSAR data for recognition of industrial buildings. In: Kasturi, R., Laurendeau, D., Sun, C. (eds). 16th Int. Conf. on Pattern Recognition, ICPR 2002. Vol. II, pp. 613-616.
  17. Michaelsen, E., Middelmann, W., Sörgel, U., Thönnessen, U. 2005. On the improvement of structural detection of building features in highresolution SAR data by edge preserving image enhancement. Pattern Recognition and Image Analysis, MAIK, NAUKA, Moscow, Vol. 15, No. 4, pp. 686-689.
  18. Stilla U., Michaelsen E., Lütjen K. 1996. Automatic Extraction of Buildings from Aerial Images. In: F. Leberl, R. Kalliany, M. Gruber (eds.), Mapping Buildings, Roads and other Man-made Structures from Images, IAPR-TC7, Wien, Oldenburg, pp. 229-244.
  19. Wertheimer, M., 1923. Untersuchungen zur Lehre von der Gestalt II. Psychol. Forsch., Vol. 4. Translated as 'Principles of Perceptual Organization' In: Beardslee, D., Wertheimer M., 1958 (eds.), Princeton, N. J. pp 115-135.
  20. ECVision: European research network for cognitive vision systems, 2005. A research roadmap of cognitive vision. www.ecvision.org.
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Paper Citation


in Harvard Style

Michaelsen E., Middelmann W. and Sörgel U. (2006). COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 109-115. DOI: 10.5220/0001368101090115


in Bibtex Style

@conference{visapp06,
author={Eckart Michaelsen and Wolfgang Middelmann and Uwe Sörgel},
title={COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={109-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001368101090115},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - COGNITIVE VISION AND PECEPTUAL GROUPING BY PRODUCTION SYSTEMS WITH BLACKBOARD CONTROL: - An example for high-resolution SAR-images
SN - 972-8865-40-6
AU - Michaelsen E.
AU - Middelmann W.
AU - Sörgel U.
PY - 2006
SP - 109
EP - 115
DO - 10.5220/0001368101090115