Circular coded landmark for optical 3D-measurement and robot vision

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. 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.