Demo Data from EDBT 2026 / reviewers in the wild / expert
Guy D. Godin
dblp:200/1981
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 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.
| Artificial intelligence
1 paper |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › range sensing
range image analysis |
0.0 | 1 | 1989 | Structured edge map of curved objects in a range image · CVPR 1989 |
Geometric modeling and processing › shape modeling › 3d object modeling
curved object modeling |
0.0 | 1 | 1989 | Structured edge map of curved objects in a range image · CVPR 1989 |
Methods — techniques the papers use, named apart from their topics
line-drawing analysis · 0.0laser triangulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Structured edge map of curved objects in a range imageabstractAn approach to the computation of a representation of objects with a planar and curved faces using discontinuity features in range images is presented. Edge maps are computed from real laser triangulation images using local operators and shadow analysis, and then structured into an edge-junction graph embedding and quantitative information. This is achieved by appealing to certain concepts of line-drawing analysis adapted to the three-dimensional nature of range imaging. The edge-oriented method is primarily useful for objects that are well-described by their edges. The main advantage of edge-based descriptions is that no fixed surface primitives are assumed. On the other hand, this scheme can only represent objects without any surface crease edges (such as a sphere) by viewpoint-dependent limb edges. This information may be insufficient for the ensuing high-level task. Thus, a generalization of the description format might include a surface analysis to provide a richer representation.> Guy D. Godin, Martin D. Levine |
CVPR | 1 |