@article{ReininghausKastenWeinkaufetal.2012, author = {Reininghaus, Jan and Kasten, Jens and Weinkauf, Tino and Hotz, Ingrid}, title = {Efficient Computation of Combinatorial Feature Flow Fields}, series = {Transactions on Visualization and Computer Graphics}, volume = {18}, journal = {Transactions on Visualization and Computer Graphics}, number = {9}, doi = {10.1109/TVCG.2011.269}, pages = {1563 -- 1573}, year = {2012}, language = {en} } @misc{ReininghausGuentherHotzetal.2012, author = {Reininghaus, Jan and G{\"u}nther, David and Hotz, Ingrid and Weinkauf, Tino and Seidel, Hans Peter}, title = {Combinatorial Gradient Fields for 2D Images with Empirically Convergent Separatrices}, year = {2012}, language = {en} } @inproceedings{KratzSchoeneichZobeletal., author = {Kratz, Andrea and Sch{\"o}neich, Marc and Zobel, Valentin and Burgeth, Bernhard and Scheuermann, Gerik and Hotz, Ingrid and Stommel, Markus}, title = {Tensor Visualization Driven Mechanical Component Design}, series = {Proc. IEEE Pacific Visualization Symposium 2014}, booktitle = {Proc. IEEE Pacific Visualization Symposium 2014}, doi = {10.1109/PacificVis.2014.51}, pages = {145 -- 152}, language = {en} } @article{SchoeneichStommelKratzetal., author = {Sch{\"o}neich, Marc and Stommel, Markus and Kratz, Andrea and Zobel, Valentin and Scheuermann, Gerik and Hotz, Ingrid and Burgeth, Bernhard}, title = {Optimization strategy for the design of ribbed plastic components}, series = {International Journal of Plastics Technology}, journal = {International Journal of Plastics Technology}, number = {10}, pages = {160 -- 175}, language = {en} } @misc{KuhnEngelkeFlatkenetal., author = {Kuhn, Alexander and Engelke, Wito and Flatken, Markus and Hege, Hans-Christian and Hotz, Ingrid}, title = {Topology-based Analysis for Multimodal Atmospheric Data of Volcano Eruptions}, issn = {1438-0064}, doi = {10.1007/978-3-319-44684-4_2}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-57043}, abstract = {Many scientific applications deal with data from a multitude of different sources, e.g., measurements, imaging and simulations. Each source provides an additional perspective on the phenomenon of interest, but also comes with specific limitations, e.g. regarding accuracy, spatial and temporal availability. Effectively combining and analyzing such multimodal and partially incomplete data of limited accuracy in an integrated way is challenging. In this work, we outline an approach for an integrated analysis and visualization of the atmospheric impact of volcano eruptions. The data sets comprise observation and imaging data from satellites as well as results from numerical particle simulations. To analyze the clouds from the volcano eruption in the spatiotemporal domain we apply topological methods. Extremal structures reveal structures in the data that support clustering and comparison. We further discuss the robustness of those methods with respect to different properties of the data and different parameter setups. Finally we outline open challenges for the effective integrated visualization using topological methods.}, language = {en} } @misc{KratzReininghausHadwigeretal.2011, author = {Kratz, Andrea and Reininghaus, Jan and Hadwiger, Markus and Hotz, Ingrid}, title = {Adaptive Screen-Space Sampling for Volume Ray-Casting}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-12446}, number = {11-04}, year = {2011}, abstract = {This work is concerned with adaptive screen-space sampling for volume ray-casting. The goal is to reduce the number of rays being cast into the scene and, thus, the overall number of sampling points. We guarantee reliable images through explicit error control using an error estimator that is founded in the field of finite element methods (FEM). FEM theory further provides a well-founded theory to prove the efficiency of the presented algorithm via convergence analysis. We, therefore, compare the convergence behavior of our method against uniform subdivisions and a refinement scheme that was presented in the context of CPU volume ray-casting. Minimizing the number of sampling points is of interest for rendering large datasets where each evaluation might need an expensive decompression. Furthermore, with increasing screen resolutions high-resolution images are created more efficiently with our method.}, language = {en} } @misc{KratzHadwigerHotz2011, author = {Kratz, Andrea and Hadwiger, Markus and Hotz, Ingrid}, title = {Improved Visual Exploration and Hybrid Rendering of Stress Tensor Fields via Shape-Space Clustering.}, publisher = {Poster presentation at the IEEE VisWeek 2011, Providence}, year = {2011}, language = {en} }