Abstract
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.
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© 1998 Springer-Verlag Berlin Heidelberg
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Ahn, S.J., Rauh, W. (1998). Circular Coded Target and Its Application to Optical 3D-Measurement Techniques. In: Levi, P., Schanz, M., Ahlers, RJ., May, F. (eds) Mustererkennung 1998. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72282-0_26
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DOI: https://doi.org/10.1007/978-3-642-72282-0_26
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