We develop algorithms and methods for data reduction which process multi-dimensional data streams for real-time visualization. This forms the basis for intuitively visualizing 3D measurement data.
Our algorithms for synthesizing training data enable the efficient training of artificial neural networks (ANNs). The data are segmented and classified from the start, removing the need for a time-consuming manual labelling process.