TY - JOUR
T1 - Depth-dependent halos
T2 - Illustrative rendering of dense line data
AU - Everts, Maarten H.
AU - Bekker, Henk
AU - Roerdink, Jos B.T.M.
AU - Isenberg, Tobias
N1 - Funding Information:
We thank Cris Lanting and Pim van Dijk from the BCN NeuroImag-ing Center in Groningen, NL, for the brain datasets used in this paper. The turbulent flow simulation dataset is courtesy of Martin Rumpf, Univ. Bonn, Germany. The armadillo and dragon datasets are from the Stanford Computer Graphics Laboratory. We also thank Alessandro Crippa, Moritz Gerl, Wladimir van der Laan, and Alex Telea for interesting discussions. This research is funded by the Dutch National Science Foundation (NWO), “VIEW” project, project no. 643.100.501.
PY - 2009/11
Y1 - 2009/11
N2 - We present a technique for the illustrative rendering of 3D line data at interactive frame rates. We create depth-dependent halos around lines to emphasize tight line bundles while less structured lines are de-emphasized. Moreover, the depth-dependent halos combined with depth cueing via line width attenuation increase depth perception, extending techniques from sparse line rendering to the illustrative visualization of dense line data. We demonstrate how the technique can be used, in particular, for illustrating DTI fiber tracts but also show examples from gas and fluid flow simulations and mathematics as well as describe how the technique extends to point data. We report on an informal evaluation of the illustrative DTI fiber tract visualizations with domain experts in neurosurgery and tractography who commented positively about the results and suggested a number of directions for future work.
AB - We present a technique for the illustrative rendering of 3D line data at interactive frame rates. We create depth-dependent halos around lines to emphasize tight line bundles while less structured lines are de-emphasized. Moreover, the depth-dependent halos combined with depth cueing via line width attenuation increase depth perception, extending techniques from sparse line rendering to the illustrative visualization of dense line data. We demonstrate how the technique can be used, in particular, for illustrating DTI fiber tracts but also show examples from gas and fluid flow simulations and mathematics as well as describe how the technique extends to point data. We report on an informal evaluation of the illustrative DTI fiber tract visualizations with domain experts in neurosurgery and tractography who commented positively about the results and suggested a number of directions for future work.
KW - black-and-white rendering
KW - dense line data
KW - DTI
KW - GPU technique
KW - Illustrative rendering and visualization
KW - NPR
KW - n/a OA procedure
UR - http://www.scopus.com/inward/record.url?scp=77957839443&partnerID=8YFLogxK
U2 - 10.1109/TVCG.2009.138
DO - 10.1109/TVCG.2009.138
M3 - Article
AN - SCOPUS:77957839443
SN - 1077-2626
VL - 15
SP - 1299
EP - 1306
JO - IEEE transactions on visualization and computer graphics
JF - IEEE transactions on visualization and computer graphics
IS - 6
M1 - 5290742
ER -