Image-Based Point Detection and Matching in a Geo-Monitoring System

Autor(en): Alexander Reiterer, Niko Benjamin Huber, Arnold Bauer

In the past, high-precision on-line 3D object monitoring required artificial targets to be placed on-site (i.e., directly on the region or object that undergoes a deformation) which is often not possible in hazardous terrain. It is therefore necessary to apply remote monitoring methods that can perform their measurements without depending on artificial targets placed on-site. Implementation examples of these methods are image-based tacheometer systems, which are using the texture on the surface of the object to find “interesting points”.