Demo Data from EDBT 2026 / reviewers in the wild / expert
Angeline M. Loh
dblp:11/4687
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
pedigree analysis |
0.1 | 1 | 2008 | Celestial3D: a novel method for 3D visualization of familial data · Bioinform. 2008 |
Bioinformatics and computational biology › biological data visualization
pedigree visualization |
0.1 | 1 | 2008 | Celestial3D: a novel method for 3D visualization of familial data · Bioinform. 2008 |
Visualization and visual analytics
biological data visualization |
0.0 | 1 | 2008 | Celestial3D: a novel method for 3D visualization of familial data · Bioinform. 2008 |
Methods — techniques the papers use, named apart from their topics
3d visualization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Celestial3D: a novel method for 3D visualization of familial dataabstractSUMMARY: Traditional two-dimensional (2D) software programs for drawing pedigrees are limited when dealing with extended pedigrees. In successive generations, the number of individuals grows exponentially, leading to an unworkable amount of space required in the horizontal direction for 2D displays. In addition, it is not always possible to place closely related individuals near each other due to the lack of space in 2Ds. To address these issues we have developed three-dimensional (3D) pedigree drawing techniques to enable clearer visualization of extended pedigrees. Currently no other methods are available for displaying extended pedigrees in 3Ds. We have made freely available a software tool--'Celestial3D'--that implements these novel techniques. AVAILABILITY: Freely available to non-commercial users. Angeline M. Loh, Steven Wiltshire, Jon Emery, Kim W. Carter, Lyle J. Palmer |
Bioinform. | 1 |
| 2005 | Shape from Non-homogeneous, Non-stationary, Anisotropic, Perspective TextureabstractWe present a method for Shape-from-Texture in one of its most general forms. Previous Shape-from-Texture papers assume that the texture is constrained by one or more of the following properties: homogeneity, isotropy, stationarity, or viewed orthographically. We make none of these assumptions. We do not presume that the frontal texture is known a priori, or from a known set, or even present in the image. Instead, surface smoothness is assumed, and the surface is recovered via a consistency constraint. The key idea is that the frontal texture is estimated, and a correct estimation leads to the most consistent surface. In addition to surface shape, a frontal view of the texture is also recovered. Results are given for synthetic and real examples. 1 Angeline M. Loh, Richard I. Hartley |
BMVC | 1 |