Automation of the Random Pattern Projecting 3D-Measurement Procedures

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 subsequent 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 the random pattern projecting optical 3D-measurement methods.