Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andrej Marjan
dblp:76/47
· 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.
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 50% Collaborative and social computing · 50% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › input sensing › tracking
head tracking |
0.0 | 1 | 2002 | Seeing Eye to Eye: A Shared Mediated Reality Using EyeTap Devices and the VideoOrbits Gyroscopic Head Tracker · ISMAR 2002 |
Image and video processing › motion estimation
image motion estimation |
0.0 | 1 | 2002 | Seeing Eye to Eye: A Shared Mediated Reality Using EyeTap Devices and the VideoOrbits Gyroscopic Head Tracker · ISMAR 2002 |
Methods — techniques the papers use, named apart from their topics
gyroscope fusion · 0.1featureless image motion estimation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Seeing Eye to Eye: A Shared Mediated Reality Using EyeTap Devices and the VideoOrbits Gyroscopic Head TrackerabstractWe present a system which allows wearable computer users to share their views of their current environments with each other. Our system uses an EyeTap: a device which allows the eye of the wearer to function both as a camera and a display. A wearer, by looking around his/her environment, "paints" or "builds" an environment map composed of images from the EyeTap device, along with head-tracking information recording the orientation of each image. The head-tracking algorithm uses a featureless image motion estimation algorithm coupled with a head mounted gyroscope. The environment map is then transmitted to another user, who, through their own head-tracking EyeTap system, browses the first user's environment solely by head motion, seeing the environment as though it were their own. As a result of browsing the transmitted environment map, the viewer builds and extends his/her own environment map, and thus this is a data-producing head-tracking system. These environment maps can then be shared reciprocally between wearers. Felix Tang, Chris Aimone, James Fung, Andrej Marjan, Steve Mann 0001 |
ISMAR | 4 |