Demo Data from EDBT 2026 / reviewers in the wild / expert
Benjamin W. Berg
dblp:151/4628
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 · 77% Virtual and augmented reality · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › mixed reality
mixed reality application |
0.0 | 1 | 2008 | Fast geometry acquisition for mixed reality applications using motion tracking · ISMAR 2008 |
Methods — techniques the papers use, named apart from their topics
motion tracking · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Fast geometry acquisition for mixed reality applications using motion trackingabstractMixing real and virtual elements into one environment often involves creating geometry models of physical objects. Traditional approaches include manual modeling by 3D artists or use of dedicated devices. Both approaches require special skills or special hardware and may be costly. We propose a new method for fast semi-automatic 3D geometry acquisition, based upon unconventional use of motion tracking equipment. The proposed method is intended for quick surface prototyping for virtual, augmented and mixed reality applications where quality of visualization of objects is not required or is of low priority. Andrei Sherstyuk, Anton Treskunov, Benjamin W. Berg |
ISMAR | 3 |