In CGRE, we develop novel methods to address the complex geometries encountered in structural geology. Our methods are specifically tuned to deal with scarce data in a formal probabilistic manner.
We investigate different mathematical models to construct complex geometries, e.g. based on gaussian processes, NURBS and subdivision surfaces and combine them with innovative probabilistic methods, such as Probabilistic ML, gradient based samplers, as well as the visualisation and interface of these methods, e.g. VR/ AR.
more...zu: Probabilistic Geomodeling