Demo Data from EDBT 2026 / reviewers in the wild / expert
John A. Strain
dblp:57/251
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 67% Geometric modeling and processing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation
fluid simulation |
0.1 | 1 | 2006 | A semi-Lagrangian contouring method for fluid simulation · ACM Trans. Graph. 2006 |
Geometric modeling and processing › isosurface extraction
surface extraction |
0.1 | 1 | 2006 | A semi-Lagrangian contouring method for fluid simulation · ACM Trans. Graph. 2006 |
Computer animation and physical simulation › fluid simulation › free-surface flow
surface tracking |
0.1 | 1 | 2006 | A semi-Lagrangian contouring method for fluid simulation · ACM Trans. Graph. 2006 |
Methods — techniques the papers use, named apart from their topics
signed distance function · 0.1semi-lagrangian advection · 0.1octree · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | A semi-Lagrangian contouring method for fluid simulationabstractIn this article, we present a semi-Lagrangian surface tracking method for use with fluid simulations. Our method maintains an explicit polygonal mesh that defines the surface, and an octree data structure that provides both a spatial index for the mesh and a means for efficiently approximating the signed distance to the surface. At each timestep, a new surface is constructed by extracting the zero set of an advected signed-distance function. Semi-Lagrangian backward path tracing is used to advect the signed-distance function. One of the primary advantages of this formulation is that it enables tracking of surface characteristics, such as color or texture coordinates, at negligible additional cost. We include several examples demonstrating that the method can be effectively used as part of a fluid simulation to animate complex and interesting fluid behaviors. Adam W. Bargteil, Tolga Göktekin, James F. O'Brien, John A. Strain |
ACM Trans. Graph. | 4 |