Demo Data from VLDB 2026 / reviewers in the wild / expert
Teruyuki Ushiro
dblp:71/1642
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Human-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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 87% Computational photography and imaging · 13% | |
| Computer networks
1 paper |
Wireless sensing and localization · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
augmented reality |
0.0 | 1 | 2003 | ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003 |
Virtual and augmented reality › augmented reality
mobile augmented reality |
0.0 | 1 | 2003 | ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003 |
Wireless sensing and localization › optical sensing
optical localization |
0.0 | 1 | 2003 | ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003 |
Computational photography and imaging › image acquisition
image sensing |
0.0 | 1 | 2003 | ID CAM: A Smart Camera for Scene Capturing and ID Recognition · ISMAR 2003 |
Methods — techniques the papers use, named apart from their topics
optical beacon recognition · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | ID CAM: A Smart Camera for Scene Capturing and ID RecognitionabstractAn ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a beacon emitted over a long distance. The ID recognition system has three features. The system is robust to changes in the optical environment, e.g. complete darkness, spotlights, and sunlight. It can recognize up to 255 multiple optical beacons simultaneously. Furthermore, it can recognize beacons even over a long distance, e.g. 40 m indoors and 20 m outdoors. Implementation and evaluation of this ID recognition system showed that a mobile augmented reality system can be achieved by combining this ID recognition system with a PDA and a wireless network. Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushiro, Shinichi Yoshimura, Jun Rekimoto, Yoshikazu Yamamoto |
ISMAR | 3 |
| 2000 | Stereo matching method with deformable window and its application to 3D measurement of the human face
Weiguo Wu, Atsushi Yokoyama, Teruyuki Ushiro, Takayuki Yoshigahara, Yoko Miwa |
VCIP | 3 |