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View-Dependent Peel-Away Visualization for Volumetric Data

Åsmund Birkeland, Ivan Viola

INPROCEEDINGS, Proceedings of the Spring Conference on Computer Graphics (SCCG 2009), April, 2009

Abstract

In this paper a novel approach for peel-away visualizations is presented. The newly developed algorithm extends existing illustrative deformation approaches which are based on deformation templates and adds a new component of view-dependency of the peel region. The view-dependent property guarantees the viewer an unobstructed view on the inspected feature of interest. This is realized by rotating the deformation template so that the peeled-away segment always faces away from the viewer. Furthermore the new algorithm computes the underlying peel template on-the-fly, which allows animating the level of peeling. When structures of interest are tagged with segmentation masks, an automatic scaling and positioning of peel deformation templates allows guided navigation and clear view on structures in focus as well as feature-aligned peeling. The overall performance allows smooth interaction with reasonably sized datasets and peel templates as the implementation maximizes the utilization of computation power of modern GPUs.

Published

Proceedings of the Spring Conference on Computer Graphics (SCCG 2009)

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BibTeX

@inproceedings{birkeland09peeling,
	author = {{\AA}smund Birkeland and Ivan Viola},
	title  ={View-Dependent Peel-Away Visualization for Volumetric Data},
	year = {2009},
	booktitle = {Proceedings of the Spring Conference on Computer Graphics
  (SCCG 2009)},
    location =   "Budmerice, Slovakia",
	pages = {133--139},



	abstract = {In this paper a novel approach for peel-away visualizations is 

  deformation approaches which are based on deformation templates and adds a new
  component of view-dependency of the peel region. The view-dependent property 
  guarantees the viewer an unobstructed view on the inspected feature of 
  interest. This is realized by rotating the deformation template so that the 
  peeled-away segment always faces away from the viewer. Furthermore the new 
  algorithm computes the underlying peel template on-the-fly, which allows 
  animating the level of peeling. When structures of interest are tagged with 
  segmentation masks, an automatic scaling and positioning of peel deformation 
  templates allows guided navigation and clear view on structures in focus as 
  well as feature-aligned peeling. The overall performance allows smooth 
  interaction with reasonably sized datasets and peel templates as the 
  implementation maximizes the utilization of computation power of modern GPUs.},
  month = {April},

  url = {http://dx.doi.org/10.1145/1980462.1980487},

}






 Last Modified: Jean-Paul Balabanian, 2013-05-29