Demo Data from SIGIR 2026 / reviewers in the wild / expert
Elizabeth Guest
dblp:72/6032
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 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.
| 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 › image registration
elastic matching |
0.0 | 1 | 2001 | Robust Point Correspondence Applied to Two-and Three-Dimensional Image Registration · IEEE Trans. Pattern Anal. Mach. Intell. 2001 |
Image and video processing
image registration |
0.0 | 1 | 2001 | Robust Point Correspondence Applied to Two-and Three-Dimensional Image Registration · IEEE Trans. Pattern Anal. Mach. Intell. 2001 |
Image and video processing › image matching
point correspondence |
0.0 | 1 | 2001 | Robust Point Correspondence Applied to Two-and Three-Dimensional Image Registration · IEEE Trans. Pattern Anal. Mach. Intell. 2001 |
Methods — techniques the papers use, named apart from their topics
sensitivity to movement · 0.0rigid registration · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Robust Point Correspondence Applied to Two-and Three-Dimensional Image RegistrationabstractAccurate and robust correspondence calculations are very important in many medical and biological applications. Often, the correspondence calculation forms part of a rigid registration algorithm, but accurate correspondences are especially important for elastic registration algorithms and for quantifying changes over time. In this paper, a new correspondence calculation algorithm, CSM (correspondence by sensitivity to movement), is described. A robust corresponding point is calculated by determining the sensitivity of a correspondence to movement of the point being matched. If the correspondence is reliable, a perturbation in the position of this point should not result in a large movement of the correspondence. A measure of reliability is also calculated. This correspondence calculation method is independent of the registration transformation and has been incorporated into both a 2D elastic registration algorithm for warping serial sections and a 3D rigid registration algorithm for registering pre and postoperative facial range scans. These applications use different methods for calculating the registration transformation and accurate rigid and elastic alignment of images has been achieved with the CSM method. It is expected that this method will be applicable to many different applications and that good results would be achieved if it were to be inserted into other methods for calculating a registration transformation from correspondences. Elizabeth Guest, Elizabeth Berry, Richard A. Baldock, Márta Fidrich, Mike A. Smith |
IEEE Trans. Pattern Anal. Mach. Intell. | 1 |
| 2000 | Using the CSM Correspondence Calculation Algorithm to Quantify Differences between Surfaces
Elizabeth Guest, Elizabeth Berry, David Morris |
BMVC | 1 |