A standard approach for visualizing scalar volume data is the extraction of isosurfaces. The most efficient methods for surface extraction operate on regular grids. When data is given on unstructured point-based samples, regularization can be applied but may introduce interpolation errors. We propose a method for smooth isosurface visualization that operates directly on unstructured point-based volume data avoiding any resampling. We derive a variational formulation for smooth local isosurface extraction using an implicit surface representation in form of a level-set approach, deploying Moving Least Squares (MLS) approximation, and operating on a kd-tree. The locality of our approach has two aspects: first, our algorithm extracts only those components of the isosurface, which intersect a subdomain of interest; second, the action of the main term in the governing equation is concentrated near the current isosurface position. Both aspects reduce the computation times per level-set iteration. As for most level-set methods a reinitialization procedure is needed, but we also consider a modified algorithm where this step is eliminated. The final isosurface is extracted in form of a point cloud representation. We present a novel point completion scheme that allows us to handle highly adaptive point sample distributions. Subsequently, splat-based or mere (shaded) point rendering is applied. We apply our method to several synthetic and real-world data sets to demonstrate its validity and efficiency.
@InCollection{molchanov_et_al:DFU.Vol2.SciViz.2011.222, author = {Molchanov, Vladimir and Rosenthal, Paul and Linsen, Lars}, title = {{Variational Level-Set Detection of Local Isosurfaces from Unstructured Point-based Volume Data}}, booktitle = {Scientific Visualization: Interactions, Features, Metaphors}, pages = {222--239}, series = {Dagstuhl Follow-Ups}, ISBN = {978-3-939897-26-2}, ISSN = {1868-8977}, year = {2011}, volume = {2}, editor = {Hagen, Hans}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DFU.Vol2.SciViz.2011.222}, URN = {urn:nbn:de:0030-drops-32941}, doi = {10.4230/DFU.Vol2.SciViz.2011.222}, annote = {Keywords: Level-set, isosurface extraction, visualization in astrophysics, particle simulations} }
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