EDBT 2026 Demo / reviewers in the wild / expert
Jörg Finger
dblp:72/1418
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · unresolved
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 · 88% Visualization and visual analytics · 12% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
3d morphable model |
0.1 | 1 | 2007 | Navigating in a Shape Space of Registered Models · IEEE Trans. Vis. Comput. Graph. 2007 |
Geometric modeling and processing › shape analysis
shape space |
0.1 | 1 | 2007 | Navigating in a Shape Space of Registered Models · IEEE Trans. Vis. Comput. Graph. 2007 |
Geometric modeling and processing
product design |
0.0 | 1 | 2007 | Navigating in a Shape Space of Registered Models · IEEE Trans. Vis. Comput. Graph. 2007 |
Methods — techniques the papers use, named apart from their topics
shape space navigation · 0.1morphable model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Navigating in a Shape Space of Registered ModelsabstractNew product development involves people with different backgrounds. Designers, engineers, and consumers all have different criteria, and these criteria interact. Early concepts evolve in this kind of collaborative context, and there is a need for dynamic visualization of the interaction between design shape and other shape-related design criteria. In this paper, a Morphable Model is defined from simplified representations of suitably chosen real cars, providing a continuous shape space to navigate, manipulate, and visualize. Physical properties and consumer-provided scores for the real cars (such as 'weight' and 'sportiness') are estimated for new designs across the shape space. This coupling allows one to manipulate the shape directly while reviewing the impact on estimated criteria, or conversely, to manipulate the criterial values of the current design to produce a new shape with more desirable attributes. Randall C. Smith, Richard R. Pawlicki, István Kókai, Jörg Finger, Thomas Vetter |
IEEE Trans. Vis. Comput. Graph. | 4 |