TY - GEN
T1 - Solid Fitting
T2 - 1997 Scientific Visualization Conference, dagstuhl 1997
AU - Fujishiro, I.
AU - Takeshima, Y.
PY - 1997/1/1
Y1 - 1997/1/1
N2 - In previous reports, the concept of solid fitting has been presented as a new indirect approach to volume visualization. Solid fitting relies on a simple, but powerful geometric data model, termed interval volume, that allows one to represent a three-dimensional subvolume for which the associated scalar values lie within a specified closed interval. This paper combines the latest results obtained through the course of the solid fitting project. After reviewing the salient features of interval volume and the fundamentals of solid fitting in the first two sections, Section 3 discusses improvements to the original solid fitting algorithm so as to extract interval volumes in a topologically-consistent manner. Also, the octree-based acceleration mechanism incorporated into the algorithm is analyzed further with a complex, time-evolving, volumetric data set. Section 4 is devoted to the presentation of several representative operations related to interval volume, including focusing and measurement-coupled visualization. In addition, a candidate for the volumetric coherence measure is introduced for adaptive solid fitting and its application to multi-scalar visualization. Lastly, Section 5 summarized the paper with some remarks on a hybrid volume exploration environment, in which solid fitting plays various roles.
AB - In previous reports, the concept of solid fitting has been presented as a new indirect approach to volume visualization. Solid fitting relies on a simple, but powerful geometric data model, termed interval volume, that allows one to represent a three-dimensional subvolume for which the associated scalar values lie within a specified closed interval. This paper combines the latest results obtained through the course of the solid fitting project. After reviewing the salient features of interval volume and the fundamentals of solid fitting in the first two sections, Section 3 discusses improvements to the original solid fitting algorithm so as to extract interval volumes in a topologically-consistent manner. Also, the octree-based acceleration mechanism incorporated into the algorithm is analyzed further with a complex, time-evolving, volumetric data set. Section 4 is devoted to the presentation of several representative operations related to interval volume, including focusing and measurement-coupled visualization. In addition, a candidate for the volumetric coherence measure is introduced for adaptive solid fitting and its application to multi-scalar visualization. Lastly, Section 5 summarized the paper with some remarks on a hybrid volume exploration environment, in which solid fitting plays various roles.
KW - Marching Cubes
KW - branch-on-need octree
KW - coherence
KW - interval analysis
KW - isosurface
KW - scientific visualization
KW - surface fitting
KW - volume rendering
KW - volume visualization
UR - http://www.scopus.com/inward/record.url?scp=80855155519&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80855155519&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80855155519
T3 - Scientific Visualization Conference, dagstuhl 1997
SP - 65
EP - 70
BT - Scientific Visualization Conference, dagstuhl 1997
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 June 1997 through 13 June 1997
ER -