Christmas tree case study: computed tomography as a tool for mastering complex real world objects with applications in computer graphics

Authors:
Armin Kanitsar;Thomas Theußl;Lukas Mroz;Milos Srámek;Anna Vilanova Bartrolí;Balázs Csébfalvi;Jirí Hladuvka;Dominik Fleischmann;Michael Knapp;Rainer Wegenkittl;Petr Felkel;Stefan Röttger;Stefan Guthe;Werner Purgathofer;Meister Eduard Gröller
Affiliations:
Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Tiani Medgraph, Austria;Austrian Academy of Sciences, Vienna, Austria;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology;University of Vienna;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Tiani Medgraph, Austria;VRVis Research Center, Vienna, Austria;VIS, University of Stuttgart;WSI/GRIS, University of Tübingen;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology
Venue:
Proceedings of the conference on Visualization '02
Year:
2002

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Abstract

We report on using computed tomography (CT) as a model acquisition tool for complex objects in computer graphics. Unlike other modeling and scanning techniques the complexity of the object is irrelevant in CT, which naturally enables to model objects with, for example, concavities, holes, twists or fine surface details. Once the data is scanned, one can apply post-processing techniques for data enhancement, modification or presentation. For demonstration purposes we chose to scan a Christmas tree which exhibits high complexity which is difficult or even impossible to handle with other techniques. However, care has to be taken to achieve good scanning results with CT. Further, we illustrate post-processing by means of data segmentation and photorealistic as well as non-photorealistic surface and volume rendering techniques.