VLDB 2026 Research / reviewers in the wild / expert
Radu Orghidan
dblp:99/2273
· DBLP profile ↗
7ranked-venue papers
5as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 4 first-authorSoftware engineering, systems software and programming languages · 3 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 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.
| Artificial intelligence
1 paper |
3D vision · 77% Robot navigation and mapping · 23% | |
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
depth computation |
0.1 | 1 | 2005 | Omnidirectional Depth Computation from a Single Image · ICRA 2005 |
Computational photography and imaging
omnidirectional imaging |
0.1 | 1 | 2005 | Omnidirectional Depth Computation from a Single Image · ICRA 2005 |
Robotics › Robot navigation and mapping
sensor design |
0.0 | 1 | 2005 | Omnidirectional Depth Computation from a Single Image · ICRA 2005 |
Methods — techniques the papers use, named apart from their topics
structured light · 0.1catadioptric imaging · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | UICVD: A Computer Vision UI Dataset for Training RPA Agents
Madalina Dicu, Adrian Sterca, Camelia Chira, Radu Orghidan |
ENASE | 4 |
| 2014 | Structured light self-calibration with vanishing points
Radu Orghidan, Joaquim Salvi, Mihaela Gordan, Camelia Florea, Joan Batlle |
Mach. Vis. Appl. | 1 |
| 2012 | Eye Color Classification for Makeup Improvement
Camelia Florea, Mihaela Moldovan, Mihaela Gordan, Aurel Vlaicu, Radu Orghidan |
FedCSIS | 5 |
| 2012 | Camera calibration with two or three vanishing points
Radu Orghidan, Joaquim Salvi, Mihaela Gordan, Bogdan Orza |
FedCSIS | 1 |
| 2006 | Modelling and accuracy estimation of a new omnidirectional depth computation sensor
Radu Orghidan, Joaquim Salvi, El Mustapha Mouaddib |
Pattern Recognit. Lett. | 1 |
| 2005 | Accuracy estimation of a new omnidirectional 3D vision sensorabstractInternational audience Radu Orghidan, Joaquim Salvi, El Mustapha Mouaddib |
ICIP (3) | 1 |
| 2005 | Omnidirectional Depth Computation from a Single ImageabstractOmnidirectional cameras offer a much wider field of view than the perspective ones and alleviate the problems due to occlusions. However, both types of cameras suffer from the lack of depth perception. A practical method for obtaining depth in computer vision is to project a known structured light pattern on the scene avoiding the problems and costs involved by stereo vision. This paper is focused on the idea of combining omnidirectional vision and structured light with the aim to provide 3D information about the scene. The resulting sensor is formed by a single catadioptric camera and an omnidirectional light projector. It is also discussed how this sensor can be used in robot navigation applications. Radu Orghidan, El Mustapha Mouaddib, Joaquim Salvi |
ICRA | 1 |