Deformation Monitoring using a new kind of Optical 3D Measurement System: Components and Perspectives

High accuracy 3D representation and monitoring of objects is an increasing field both in science and industrial applications. Up to now many tasks like monitoring of building deformations or displacements were solved by means of artificial targets on the objects of interest. Meanwhile mature optical 3D measurement techniques are available. Such imagebased systems can perform their measurements even without targeting. They use the texture on the object surface to find "interesting points" which can replace the artificial targets. Example for a monitoring task is the stability control during the whole construction process of engineering buildings like bridges, high-rise buildings, dams, etc. This paper gives an overview of a new type of optical 3D measurement system and its components. It useslearning-based object recognition techniques to search for relevant areas to collect robust interest point candidates to be long-term tracked to provide a deformation database. The task of deformation analysis is on one hand based on a traditional geodetic deformation analysis process and on the other hand on a new developed procedure called deformation assessment. The main goal of this development is to measure, analyse and interpret object deformations by means of a highly automated process. We focus on key functional components, development stage and perspectives of the developed system.