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)
Media
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},
}
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