Demo Data from EDBT 2026 / reviewers in the wild / expert
Diana R. Bueno
dblp:59/7792
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 61% Robot navigation and mapping · 30% Probabilistic and Bayesian machine learning · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › camera calibration
self-calibration |
0.1 | 1 | 2009 | Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009 |
Computer vision › 3D vision
structure from motion |
0.1 | 1 | 2009 | Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009 |
Robotics › Robot navigation and mapping › SLAM
visual SLAM |
0.1 | 1 | 2009 | Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009 |
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › bayesian inference
recursive bayesian estimation |
0.0 | 1 | 2009 | Camera self-calibration for sequential Bayesian structure from motion · ICRA 2009 |
Methods — techniques the papers use, named apart from their topics
sequential bayesian estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Camera self-calibration for sequential Bayesian structure from motionabstractComputer vision researchers have proved the feasibility of camera self-calibration —the estimation of a camera's internal parameters from an image sequence without any known scene structure. Various self-calibration algorithms have been published. Nevertheless, all of the recent sequential approaches to 3D structure and motion estimation from image sequences which have arisen in robotics and aim at real-time operation (often classed as visual SLAM or visual odometry) have relied on pre-calibrated cameras and have not attempted online calibration. Javier Civera 0001, Diana R. Bueno, Andrew J. Davison, J. M. M. Montiel |
ICRA | 2 |