Demo Data from EDBT 2026 / reviewers in the wild / expert
Nick Bennett
dblp:90/5356
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—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.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › pattern detection › shape detection
ellipse detection |
0.0 | 1 | 1999 | A Method to Detect and Characterize Ellipses Using the Hough Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1999 |
Image and video processing › feature detection
hough transform |
0.0 | 1 | 1999 | A Method to Detect and Characterize Ellipses Using the Hough Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1999 |
Image and video processing › pattern detection
shape detection |
0.0 | 1 | 1999 | A Method to Detect and Characterize Ellipses Using the Hough Transform · IEEE Trans. Pattern Anal. Mach. Intell. 1999 |
Methods — techniques the papers use, named apart from their topics
projective geometry · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | A Method to Detect and Characterize Ellipses Using the Hough TransformabstractWe describe a new technique for detecting and characterizing ellipsoidal shapes automatically from any type of image. This technique is a single pass algorithm which can extract any group of ellipse parameters or characteristics which can be computed from those parameters without having to detect all five parameters for each ellipsoidal shape. Moreover, the method can explicitly incorporate any a priori knowledge the user may have concerning ellipse parameters. The method is based on techniques from projective geometry and on the Hough transform. This technique can significantly reduce interpretation and computation time by automatically extracting only those features or geometric parameters of interest from images and making exact use of a priori information. Nick Bennett, Robert Burridge, Naoki Saito 0001 |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |