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Circular Coded Target and Its Application to Optical 3D-Measurement Techniques

: Ahn, S.J.; Rauh, W.

Levi, P.; Ahlers, R.-J.; May, F.; Schanz, M. ; Univ. Stuttgart, Institut für Parallele und Verteilte Höchstleistungsrechner; Deutsche Arbeitsgemeinschaft für Mustererkennung -DAGM-; Gesellschaft für Informatik -GI-, Bonn:
Mustererkennung 1998. 20. DAGM-Symposium : Stuttgart, 29.September - 1.Oktober 1998
Berlin: Springer, 1998 (Informatik aktuell)
ISBN: 3-540-64935-2
Deutsche Arbeitsgemeinschaft für Mustererkennung (Symposium) <20, 1998, Stuttgart>
Fraunhofer IPA ()
3D-Bildverarbeitung; 3D-Measurement; Bildverarbeitung; Fehlerbeseitigung; Fehlererkennung; Kalibrieren; Kamera; Messen; Photogrammetrie

One of the primary but tedious tasks for the user and developer of an optical 3D-measurement system is to find the homologous image points in multiple images - a task that is frequently referred to as the correspondence problem. With the solution, the error-free correspondence and accurate measurement of image points are of great importance, on which the qualitative results of the succeeding 3D-measurement are immediately dependent. In fact, the automation of measurement processes is getting more important with developments in production and hence of increasing topical interest. In this paper, we present a circular coded target for automatic image point measurement and identification, its data processing and application to some optical 3D-measurement methods.