Demo Data from VLDB 2026 / reviewers in the wild / expert
Peter Geißler
dblp:79/1013
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
3D vision · 100% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 77% Multimedia analysis and retrieval · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
depth estimation |
0.0 | 1 | 1994 | Depth from focus with one image · CVPR 1994 |
Computer vision › 3D vision › depth estimation › focus-based depth estimation
depth from focus |
0.0 | 1 | 1994 | Depth from focus with one image · CVPR 1994 |
Computational photography and imaging › image formation
point spread function |
0.0 | 1 | 1994 | Depth from focus with one image · CVPR 1994 |
Multimedia analysis and retrieval › image analysis
image blur analysis |
0.0 | 1 | 1994 | Depth from focus with one image · CVPR 1994 |
Methods — techniques the papers use, named apart from their topics
low-level image processing · 0.0blur analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | In Situ Determination of Cell Concentration in Bioreactors with a new Depth from Focus Technique
T. Scholz, Bernd Jähne, H. Suhr, G. Wehnert, Peter Geißler |
CAIP | 5 |
| 1994 | Depth from focus with one imageabstractA novel depth-from-focus technique is introduced that needs only a single image. It is based on a precise knowledge of the 3-D point spread function and requires objects of uniform brightness and simple shapes. Using adequate low-level image processing techniques, the true area of the object and the distance from the focal plane is obtained from parameters such as the apparent (blurred) area of the object and the mean brightness in this area. The technique has been applied to measure the size distribution of bubbles submerged by breaking waves. A depth criterion is used to define a virtual measuring volume that is roughly proportional to the size of the bubbles.> Bernd Jähne, Peter Geißler |
CVPR | 2 |