Learn More
This paper presents a novel method for interactive exploration of industrial CT volumes such as cast metal parts, with the goal of interactively detecting, classifying, and quantifying features using a visualization-driven approach. The standard approach for defect detection builds on region growing, which requires manually tuning parameters such as target(More)
—Progressive Visual Analytics aims at improving the interactivity in existing analytics techniques by means of visualization as well as interaction with intermediate results. One key method for data analysis is dimensionality reduction, for example, to produce 2D embeddings that can be visualized and analyzed efficiently. t-Distributed Stochastic Neighbor(More)
The most important resources to fulfill today's energy demands are fossil fuels, such as oil and natural gas. When exploiting hydrocarbon reservoirs, a detailed and credible model of the subsurface structures is crucial in order to minimize economic and ecological risks. Creating such a model is an inverse problem: reconstructing structures from measured(More)
Increasing demands in worldwide energy consumption and oil depletion of large reservoirs have resulted in the need for exploring smaller and more complex oil reservoirs. Planning of the reservoir valorization usually starts with creating a model of the subsurface structures, including seismic faults and horizons. However, seismic interpretation and horizon(More)
50cm-100cm 50cm 0cm 0cm 20.8cm 10.4cm 17cm 100cm-50cm-100cm 50cm 0cm 100cm sea lvl sea lvl standard deviation # surfaces 0% 100% 50% risk t0 t1 t2 t3 t4 t5 t6 t7 t8 t9 Figure 1: A selected time step of an ocean forecasting ensemble computed for the Gulf of Mexico is visualized via the mean surface of the ensemble (center). For a more detailed inspection of(More)
  • 1