Demo Data from SIGIR 2026 / reviewers in the wild / expert
Desmond J. Robinson
dblp:73/2524
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 |
Geometric modeling and processing · 100% | |
| Theoretical computer science
1 paper |
Computational geometry · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › shape representation › medial representation
medial surface |
0.0 | 1 | 1996 | Shape Description By Medial Surface Construction · IEEE Trans. Vis. Comput. Graph. 1996 |
Geometric modeling and processing
shape representation |
0.0 | 1 | 1996 | Shape Description By Medial Surface Construction · IEEE Trans. Vis. Comput. Graph. 1996 |
Computational geometry › triangulation
delaunay triangulation |
0.0 | 1 | 1996 | Shape Description By Medial Surface Construction · IEEE Trans. Vis. Comput. Graph. 1996 |
Methods — techniques the papers use, named apart from their topics
boundary point refinement · 0.0b-rep solid modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Shape Description By Medial Surface ConstructionabstractThe medial surface is a skeletal abstraction of a solid that provides useful shape information, which compliments existing model representation schemes. The medial surface and its associated topological entities are defined, and an algorithm for computing the medial surface of a large class of B-rep solids is then presented. The algorithm is based on the domain Delaunay triangulation of a relatively sparse distribution of points, which are generated on the boundary of the object. This strategy is adaptive in that the boundary point set is refined to guarantee a correct topological representation of the medial surface. Damian J. Sheehy, Cecil G. Armstrong, Desmond J. Robinson |
IEEE Trans. Vis. Comput. Graph. | 3 |