Demo Data from EDBT 2026 / reviewers in the wild / expert
Y. C. Shah
dblp:21/6392
· 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-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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › depth estimation
range estimation |
0.0 | 1 | 1989 | A New Technique to Extract Range Information From Stereo Images · IEEE Trans. Pattern Anal. Mach. Intell. 1989 |
Computer vision › 3D vision › stereo vision
stereo matching |
0.0 | 1 | 1989 | A New Technique to Extract Range Information From Stereo Images · IEEE Trans. Pattern Anal. Mach. Intell. 1989 |
Computer vision › 3D vision
stereo vision |
0.0 | 1 | 1989 | A New Technique to Extract Range Information From Stereo Images · IEEE Trans. Pattern Anal. Mach. Intell. 1989 |
Methods — techniques the papers use, named apart from their topics
distortion correction · 0.0area registration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | A New Technique to Extract Range Information From Stereo ImagesabstractResults are described for an algorithm that automatically registers two stereo images. An exact area registration process which automatically removes all residual distortion due to the geometry of the stereo imaging system is demonstrated. This process allows the match judgement to be based upon an analysis of the residual differences of structure and intensity existing after all differences due to geometrical distortion have been corrected. The accuracy in general seems to be of the order of 1% of range, since the average distance to the model was about 600 mm and the RMS error in range was about 6 mm. The fact that the maximum error was greater by a factor of five indicates that there were still some mismatched points and the procedures followed in the stereo ranging algorithm were not sufficient. Further modifications to the algorithm are needed.> Y. C. Shah, R. Chapman, R. B. Mahani |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |