Fakultät Informatik

ClearView: An Interactive Context Preserving Hotspot Visualization Technique

 Jens Krüger,  Jens Schneider, Rüdiger Westermann

Computer Graphics and Visualization Group, Technical University Munich, Germany

Background

Volume rendered imagery often includes a barrage of 3D information like shape, appearance and topology of complex structures, and it thus quickly overwhelms the user. In particular, when focusing on a specific region a user cannot observe the relationship between various structures unless he has a mental picture of the entire data. In this paper we present ClearView, a GPU-based, interactive framework for texture-based volume ray-casting that allows users which do not have the visualization skills for this mental exercise to quickly obtain a picture of the data in a very intuitive and user-friendly way. ClearView is designed to enable the user to focus on particular areas in the data while preserving context information without visual clutter. ClearView does not require additional feature volumes as it derives any features in the data from image information only. A simple point-and-click interface enables the user to interactively highlight structures in the data. ClearView provides an easy to use interface to complex volumetric data as it only uses transparency in combination with a few specific shaders to convey focus and context information.

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Associated publications

ClearView: An Interactive Context Preserving Hotspot Visualization Technique
J. Krüger, J. Schneider, R. Westermann, IEEE Transactions on Visualization and Computer Graphics (Proceedings of  IEEE Visualization 2006) [Bibtex]

Videos

 IEEE Visualization 2006 Submission Video [DivX Avi]

Slides

 IEEE Visualization 2006 [PowerPoint 2007 only] [Complete with Videos]

Downloads

Download visualization tools containing the ClearView technology

 Particle Engine and datasets
 GPU based raycaster

Awards

Our ClearView-enabled Particle Engine won the
 IEEE Visualization Contest 2006

 

News

Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.

 

PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.