Demo Data from EDBT 2026 / reviewers in the wild / expert
Alex Noort
dblp:35/373
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-author
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
2 papers |
Geometric modeling and processing · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › computer-aided design
feature-based modeling |
0.0 | 1 | 2004 | Multiple-view feature modelling for integral product development · Comput. Aided Des. 2004 |
Methods — techniques the papers use, named apart from their topics
geometric modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Multiple-view feature modelling for integral product development
Willem F. Bronsvoort, Alex Noort |
Comput. Aided Des. | 2 |
| 2002 | Integrating part and assembly modelling
Alex Noort, Geoffry F. M. Hoek, Willem F. Bronsvoort |
Comput. Aided Des. | 1 |
| 2002 | Feature Model VisualizationabstractAbstract Feature modelling is now the predominant way of modelling products. Feature visualization is an important aspect here that can still be considerably improved. In this paper, an integrated way of visualizing feature models is presented, using new techniques for both the geometry and the structure of models. For the geometry of feature models, techniques are presented to visualize a selected subset of form features in a way that clearly distinguishes them from the rest of the model, as well as functional information such as closure faces of subtractive form features. For the structure of features models, techniques are presented to visualize several types of graphs. The different visualization techniques are used in an integrated way. Implementation of some of the techniques requires a non‐manifold representation of the geometry of the feature model. This representation, and some other implementation aspects, are briefly described. Throughout the paper, numerous examples of images of feature models are given which show that the new visualization techniques can indeed improve the effectiveness of feature modelling. ACM CSS: I.3.7 Three‐Dimensional Graphics and Realism—visible line/surface algorithms, J.6 Computer‐AidedEngineering—feature modelling Willem F. Bronsvoort, Rafael Bidarra, Alex Noort |
Comput. Graph. Forum | 3 |