Demo Data from EDBT 2026 / reviewers in the wild / expert
Yuki Kaneto
dblp:182/7299
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 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 |
0.2 | 1 | 2016 | Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016 |
Virtual and augmented reality › augmented reality
markerless augmented reality |
0.2 | 1 | 2016 | Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016 |
Collaborative and social computing › social interaction
multi-user interaction |
0.1 | 1 | 2016 | Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016 |
Collaborative and social computing › collaborative virtual environments
shared virtual space |
0.1 | 1 | 2016 | Space-sharing AR interaction on multiple mobile devices with a depth camera · VR 2016 |
Methods — techniques the papers use, named apart from their topics
template matching · 0.5depth camera · 0.5ICP algorithm · 0.52d registration · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Space-sharing AR interaction on multiple mobile devices with a depth cameraabstractIn this paper, we propose a markerless augmented reality (AR) system that works on multiple mobile devices. The relative positions and orientations of the devices and their individual motions are estimated from 3D information in real space obtained by depth cameras attached to the devices. The system allows multiple users to share the AR space and to interact with the same virtual object. To estimate the relative positions and orientations of the devices, the system generates 2D images by looking down from above at the 3D scene obtained by the depth cameras, performs 2D registration using template matching, and obtains a transformation matrix that transforms the coordinate system of one camera to that of another camera. The motion of a camera is estimated using the ICP algorithm to realize markerless AR. Using the proposed system, we created an application that enables multiple users to interact with the same virtual object. Yuki Kaneto, Takashi Komuro |
VR | 1 |