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Ein allgemeiner und modularer Ansatz zum Korrespondenzproblem

  • Conference paper
Mustererkennung 1985

Part of the book series: Informatik Fachberichte ((INFORMATIK,volume 107))

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Kurzfassung

Es wird ein neuer allgemeiner Ansatz für das Korrespondenzproblem bei Stereo-Bildfolgen vorgestellt. Der Ansatz basiert auf einem flexiblen Systemkonzept, das heuristisches Wissen und Kontrollrahmen strikt trennt und die Integration von Tiefenhinweisen aus Messungen mit anderen Sensoren erlaubt. Das Verfahren verwendet lokale Bildmerkmale und löst Mehrdeutigkeiten durch “constraint propagation” entlang Kanten und eine geeignete Zuordnungsreihenfolge, die anhand einer Gruppierung und Bewertung von Merkmalen innerhalb der Bilder geplant wird. Es werden erste Ergebnisse mit einer Teilimplementation beschrieben, die die planende Komponente des Systems realisiert.

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Literatur

  1. Depth from Edge and Intensity Based Stereo, Harlyn Baker, University of Illinois, Ph.D. Thesis, Sep. 1981, see also: 6th Int. Jt. Conf. Art. Intell., Vancouver/BC 1981.

    Google Scholar 

  2. Disparity Analysis of Images, S.T. Barnard and W.B. Thompson, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-2 (1980), 333–340; see also: Technical Report 79-1 (Jan. 1979), Computer Science Department, University of Minnesota, Minneapolis/MN.

    Article  Google Scholar 

  3. Rotationally Invariant Image Operators, P.R. Beaudet, Proc. Int. Joint Conf. Pattern Recognition, Kyoto/Japan, Nov. 7–10, 1978, pp. 579–583.

    Google Scholar 

  4. Dynamic World Modeling for an Intelligent Mobile Robot, Jan L. Crowley, 7th Int. Conf. Pattern Recognition, Montreal, Canada, July 30–August 2, 1984, pp. 207–210, see also: A Computational Paradigm for Three Dimensional Scene Analysis, Jan L. Crowley, The Robotics Institute, Carnegie-Mellon University, Pittsburgh, PA, report CMU-RI-TR-84-11, April 1984.

    Google Scholar 

  5. Volumetrie Model and SD-Trajectory of a Moving Car Derived from Monocular TV Frame Sequences of a Street Scene, L. Dreschler and H.-H. Nagel, Computer Graphics and Image Processing 20 199–228 (1982).

    Article  Google Scholar 

  6. Konzeption für ein Bildverarbeitungssystem zur Lösung des Korrespondenz-problems bei Stereo-Bild folgen im Rahmen einer komfortablen ADA-HH Programmierumgebung, Leonie S. Dreschler-Fischer and Volker Haarslev, Robotersysteme 1 (1985) 29–34.

    Google Scholar 

  7. Pattern Classification and Scene Analysis, R. O. Duda and P. E. Hart, John Wiley & Sons, New York 1973.

    MATH  Google Scholar 

  8. A Stereo Vision System for an Autonomous Vehicle, D. B. Gennery, Proc. 5th Int. Jt. Conf. Art. Inte 11., Boston/MA, Aug. 1977.

    Google Scholar 

  9. Computer Matching of Stereo Images, M. J. Hannah, Ph.D. Thesis, Memo AIM 239 ( July 1974 ), Stanford University, Stanford/CA.

    Google Scholar 

  10. The Stereopsis of Time- Varying Imagery, Michael R. M. Jenkin, Technical Report RBCV-TR-84-3, Department of Computer Science, University of Toronto, Toronto, Ontario, Canada, September 1984.

    Google Scholar 

  11. Image Understanding Research at CMU, Takeo Kanade, Proc. Image Understanding Workshop, Arling- ton/VA, Lee S. Baumann (ed.), June 1983, pp. 1–7.

    Google Scholar 

  12. Psychophysical and Computational Studies toward a Theory of Human Stereopsis, Mayhew and Frisby, Art. Intell. 17 (1981) 349–387.

    Google Scholar 

  13. A Theory of Human Stereo Vision, David Marr and T. Poggio, Proc. of the Royal Society of London B204 (1979) 301–328.

    Google Scholar 

  14. Representation and Tracking of Point Structures using Stereovision, A. Mitchie and P. Bouthemy, Proceedings of the Workshop on Computer Vision, Representation, and Control, April 1984, Annapolis/Maryland, IEEE Computer Society Press, pp. 118–124.

    Google Scholar 

  15. Visual Mapping by a Robot Rover, H.-P. Moravec, Proc. Int. Joint Conf. Artificial Intelligence,Tokyo, Japan, August 20–23, 1979, pp. 598–600.

    Google Scholar 

  16. Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover, H.-P. Moravec, Ph.D. Thesis, Dept. Comp. Science, Stanford University, Stanford/CA 1980, see also: CMU-RI-TR-3 (Sep. 1980) Robotics Institute, Carnegie-Mellon-University, Pittsburgh/PA.

    Google Scholar 

  17. MIT-Progress in Understanding Images, T. Poggio and S. Ullman, Proc. DARPA-Image Understanding Workshop, Arlington/VA, Lee S. Baumann (ed.), June 1983, pp. 11–23.

    Google Scholar 

  18. Matching Symbolic Descriptions for 3-D Reconstruction of Simple Moving Objects, B. Radig, R. Kraasch, and W. Zach, ICPR-80, pp. 1081–1084.

    Google Scholar 

  19. Modellierung von Kanten bei unregelmäßiger Rasterung, Ernst E. Triendl, Proc. 1. DAGM-Symposium Oberpfaffenhofen/BRD 1978, Springer Verlag Berlin Heidelberg New York 1978.

    Google Scholar 

  20. Ullman 79]: The Interpretation of Visual Motion, S. Ullman, MIT Press, Cambridge/MA 1979.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Fachbereich Informatik, Universität Hamburg, Schlüterstraße 70, D-2000, Hamburg 13, Germany

    Leonie S. Dreschler-Fischer

  2. Stanford AI-Laboratory, Stanford University, Cedar Hall Stanford, CA, 94305, USA

    Ernst E. Triendl

Authors
  1. Leonie S. Dreschler-Fischer
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  2. Ernst E. Triendl
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Editor information

Editors and Affiliations

  1. Lehrstuhl für Informatik 5 (Mustererkennung), Universität Erlangen-Nürnberg, Martensstraße 3, 8520, Erlangen, Germany

    H. Niemann

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© 1985 Springer-Verlag Berlin Heidelberg

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Dreschler-Fischer, L.S., Triendl, E.E. (1985). Ein allgemeiner und modularer Ansatz zum Korrespondenzproblem. In: Niemann, H. (eds) Mustererkennung 1985. Informatik Fachberichte, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70638-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-70638-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15696-3

  • Online ISBN: 978-3-642-70638-7

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