Demo Data from SIGIR 2026 / reviewers in the wild / expert
Markus Glaser
dblp:72/2533
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, 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 · 67% Robot navigation and mapping · 33% |
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
camera calibration |
0.1 | 1 | 2007 | Omnidirectional Cameras as Backing-Up Aid · ICCV 2007 |
Computer vision › 3D vision › camera calibration › camera model
catadioptric camera |
0.1 | 1 | 2007 | Omnidirectional Cameras as Backing-Up Aid · ICCV 2007 |
Robotics › Robot navigation and mapping › mobile robot perception › visual sensing
omnidirectional camera |
0.1 | 1 | 2007 | Omnidirectional Cameras as Backing-Up Aid · ICCV 2007 |
Methods — techniques the papers use, named apart from their topics
motion path overlay · 0.1image warping · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Omnidirectional Cameras as Backing-Up AidabstractOmnidirectional cameras are well suited for maneuvering tasks due to to their large field of view. We mounted two catadioptric cameras on a vehicle and provide the driver with a bird's-eye view of the surrounding area behind the vehicle as well as the area on the left and right hand side. In order to enlarge the field of view of the bird's-eye view image, we will show an extension to the bird's-eye view image that provides a larger field of view and thus simplifies challenging maneuvering tasks. An overlay onto the resulting image shows the motion path of the vehicle while reversing. This motion path is connected to the steering angle. The driver can easily see where the vehicle will move when the steering angle is not changed throughout the movement. Tobias Ehlgen, Markus Thorn, Markus Glaser |
ICCV | 3 |