TY - JOUR
T1 - Extraction and LOD control of colored interval volumes
AU - Miyamura, Hiroko Nakamura
AU - Takeshima, Yuriko
AU - Fujishiro, Issei
AU - Saito, Takafumi
PY - 2005/7/20
Y1 - 2005/7/20
N2 - Interval volume serves as a generalized isosurface and represents a three-dimensional subvolume for which the associated scalar filed values lie within a user-specified closed interval. In general, it is not an easy task for novices to specify the scalar field interval corresponding to their ROIs. In order to extract interval volumes from which desirable geometric features can be mined effectively, we propose a suggestive technique which extracts interval volumes automatically based on the global examination of the field contrast structure. Also proposed here is a simplification scheme for decimating resultant triangle patches to realize efficient transmission and rendition of large-scale interval volumes. Color distributions as well as geometric features are taken into account to select best edges to be collapsed. In addition, when a user wants to selectively display and analyze the original dataset, the simplified dataset is restructured to the original quality. Several simulated and acquired datasets are used to demonstrate the effectiveness of the present methods.
AB - Interval volume serves as a generalized isosurface and represents a three-dimensional subvolume for which the associated scalar filed values lie within a user-specified closed interval. In general, it is not an easy task for novices to specify the scalar field interval corresponding to their ROIs. In order to extract interval volumes from which desirable geometric features can be mined effectively, we propose a suggestive technique which extracts interval volumes automatically based on the global examination of the field contrast structure. Also proposed here is a simplification scheme for decimating resultant triangle patches to realize efficient transmission and rendition of large-scale interval volumes. Color distributions as well as geometric features are taken into account to select best edges to be collapsed. In addition, when a user wants to selectively display and analyze the original dataset, the simplified dataset is restructured to the original quality. Several simulated and acquired datasets are used to demonstrate the effectiveness of the present methods.
KW - Interval volume
KW - Level of detail
KW - Solid fitting
KW - Triangle decimation
KW - Volume visualization
UR - http://www.scopus.com/inward/record.url?scp=21944444951&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=21944444951&partnerID=8YFLogxK
U2 - 10.1117/12.587950
DO - 10.1117/12.587950
M3 - Conference article
AN - SCOPUS:21944444951
SN - 0277-786X
VL - 5669
SP - 95
EP - 102
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
M1 - 11
T2 - Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2005
Y2 - 17 January 2005 through 18 January 2005
ER -