Demo Data from EDBT 2026 / reviewers in the wild / expert
Nils N. Haag
dblp:157/9717
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Graphics, 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 |
Computational photography and imaging · 87% Geometric modeling and processing · 13% | |
| Artificial intelligence
1 paper |
3D vision · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
model matching |
0.0 | 1 | 1992 | Some invariant linear methods in photogrammetry and model-matching · CVPR 1992 |
Computational photography and imaging
camera geometry |
0.0 | 1 | 1992 | Some invariant linear methods in photogrammetry and model-matching · CVPR 1992 |
Computational photography and imaging › camera geometry
projective invariants |
0.0 | 1 | 1992 | Some invariant linear methods in photogrammetry and model-matching · CVPR 1992 |
Geometric modeling and processing › 3d reconstruction
photogrammetry |
0.0 | 1 | 1992 | Some invariant linear methods in photogrammetry and model-matching · CVPR 1992 |
Methods — techniques the papers use, named apart from their topics
projective invariants · 0.0linear equation system · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Some invariant linear methods in photogrammetry and model-matchingabstractFor several useful tasks in photogrammetry and in model-based vision, noniterative methods that require only the inversion of systems of linear equations are developed. The methods are based on the theory of projective invariants. The tasks addressed are resection, intersection, and transfer, or model matching (with or without ground control points). The following kinds of transfer are examined: (a) coplanar object points (transfer to image 2 done using four reference points in image 1); (b) stereo camera system (transfer to stereo camera pair 2 done using four reference points in stereo pair 1); (c) general multicamera configuration (transfer of a ninth point to image 3 done using eight tie points in images 1 and 2).> Eamon B. Barrett, Michael H. Brill, Nils N. Haag, Paul M. Payton |
CVPR | 3 |
| 1991 | General methods for determining projective invariants in imagery
Eamon B. Barrett, Paul M. Payton, Nils N. Haag, Michael H. Brill |
CVGIP Image Underst. | 3 |