Ahn, S.J.S.J.AhnRauh, W.W.RauhRecknagel, M.M.Recknagel2022-03-092022-03-091999https://publica.fraunhofer.de/handle/publica/3333532-s2.0-0033344728One 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 its application to the optical 3D-measurement method.en3D-MeasurementMeasurement AutomationCircular Coded Targetcamera calibrationMessenAutomatisierenKameraKalibrieren670conference paper