EDBT 2026 Demo / reviewers in the wild / expert
Patricia Moore
dblp:198/5014
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 |
Visualization and visual analytics · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
3d reconstruction |
0.4 | 1 | 2020 | A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization · ACM Multimedia 2020 |
Visualization and visual analytics › data visualization
panoramic visualization |
0.4 | 1 | 2020 | A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization · ACM Multimedia 2020 |
Methods — techniques the papers use, named apart from their topics
web-based visualization · 0.9image-based reconstruction · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama VisualizationabstractThis work presents a so-called Smart Site Survey (SSS) system that provides an efficient, web-based platform for virtual inspection of remote sites with absolute 3D metrics. Traditional manual surveying requires sending surveyors and specialised measuring tools to the targeted scene, which takes time and requires significant human resource, and often includes human error. The proposed system provides an automated site survey tool. Sample indoor scenes including offices, storage rooms, and laboratory are used for testing purposes, and highly precise virtual scenes are restored, with the measurement accuracy of 1%, i.e. an error ±1.5cm to a 150cm length. This is comparable or superior to existing works or commercial products. Sha Yu, Kevin McGuinness, Patricia Moore, David Azcona, Noel E. O'Connor |
ACM Multimedia | 3 |