Zusammenfassung
Visiontool erlaubt nicht nur, Werkstücke zu erkennen, sondern macht den Erkennungsvorgang einsehbar: die verwendeten Merkmale, ihre Uebereinstimmung, die daraus gebildeten Hypothesen sowie die Erkennungsgüte sind schrittweise verfolgbar.
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Literatur
Ayache, O.D. Faugeras, “HYPER: A New Approach for the Recognition and Positioning of Two- Dimensional Objects”, IEEE Trans. Pattern Anal Mach. Intell. PAMI-8, No. 1, p. 44–54, January 1986
M. Eichenberger, G. Wong, “Two Contrasting Methods of Object Recognition: Geometric Features and Gabor Function Filter Values”, Proc. of 6th Scandinavian Conference on Image Analysis, Oulu, June 19–22, 1989, Vol. 1, p. 514–521.
W. Hattich, “Recognition of Overlapping Workpieces by Model Directed Construction of Object Contours”, Digital Systems for Industrial Automattion, Vol. 1, Nr. 2-3, p. 223–239, 1982
F. Knoll und R. C. Jain, “Recognizing Partially Visible Objectw Using Feature Indexed Hypotheses”, IEEE Journal of Robotics and Automation, Vol. RA-2, No. 1, (1986), p 3
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© 1989 Springer-Verlag Berlin Heidelberg
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Eichenberger, M. (1989). Visiontool. In: Burkhardt, H., Höhne, K.H., Neumann, B. (eds) Mustererkennung 1989. Informatik-Fachberichte, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75102-8_73
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DOI: https://doi.org/10.1007/978-3-642-75102-8_73
Publisher Name: Springer, Berlin, Heidelberg
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