Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alex Erendi
dblp:77/995
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision › depth estimation
stereo depth estimation |
0.0 | 1 | 2002 | The Use of Dense Stereo Range Data in Augmented Reality · ISMAR 2002 |
Interaction techniques and input › input sensing › tracking
augmented reality tracking |
0.0 | 1 | 2002 | The Use of Dense Stereo Range Data in Augmented Reality · ISMAR 2002 |
Computer vision › 3D vision › camera pose estimation
camera pose tracking |
0.0 | 1 | 2002 | The Use of Dense Stereo Range Data in Augmented Reality · ISMAR 2002 |
Interaction techniques and input › gesture input
pointing gesture |
0.0 | 1 | 2002 | The Use of Dense Stereo Range Data in Augmented Reality · ISMAR 2002 |
Methods — techniques the papers use, named apart from their topics
fingertip tracking · 0.1dense stereo vision · 0.1camera pose estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | The Use of Dense Stereo Range Data in Augmented RealityabstractThis paper describes an augmented reality system that incorporates a real-time dense stereo vision system. Analysis of range and intensity data is used to perform two functions: 1) 3D detection and tracking of the user's fingertip or a pen to provide natural 3D pointing gestures, and 2) computation of the 3D position and orientation of the user's viewpoint without the need for fiducial mark calibration procedures, or manual initialization. The paper describes the stereo depth camera, the algorithms developed for pointer tracking and camera pose tracking, and demonstrates their use within an application in the field of oil and gas exploration. Gaile G. Gordon, Mark Billinghurst, Melanie Bell, John Woodfill, Bill Kowalik, Alex Erendi, Janet Tilander |
ISMAR | 6 |