Data Visualization

I Visualization Algorithms and Techniques.- Efficient occlusion culling for large model visualization.- Localizing vector field topology.- Feature tracking with skeleton graphs.- Correspondence analysis: visualizing property-profiles of time-dependent 3D datasets.- Specializing visualization algorithms.- Isosurface extraction for large-scale data sets.- II Volume Visualization.- Topologically-accentuated volume rendering.- Reconstruction issues in volume visualization.- High quality splatting and volume synthesis.- Cellfast: Interactive unstructured volume rendering and classification.- Cell projection of meshes with non-planar faces.- Segmentation and texture-based hierarchical rendering techniques for large-scale real-color biomedical image data.- III Information Visualization.- eBusiness Click Stream Analysis.- Hierarchical exploration of large multivariate data sets.- Visualization of multidimensional data using structure preserving projection methods.- Visualizing process information and the health status of wastewater treatment plants-A case study of the ESPRIT-project WaterCIME.- IV Multiresolution Methods.- Data structures for 3D multi-tessellations: an overview.- A data model for adaptive multi-resolution scientific data.- Multiresolution representation of datasets with material interfaces.- Generalizing lifted tensor-product wavelets to irregular polygonal domains.- Ranked representation of vector fields.- V Modelling Techniques.- Procedural volume modeling, rendering, and visualization.- Surface approximation to point cloud data using volume modeling.- Enriching volume modelling with scalar fields.- Fast methods for computing isosurface topology with Betti numbers.- Surface interpolation by spatial environment graphs.- VI Interaction Techniques andArchitectures.- Preset based interaction with high dimensional parameter spaces.- Visual interaction to solving complex optimization problems.- Visualizing cosmological time.- Component-based intelligent