Demo Data from VLDB 2026 / reviewers in the wild / expert
Florian Schier
dblp:318/7848
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-3611-8719ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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 |
Immersive interaction · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction
head-mounted display |
0.8 | 1 | 2024 | ViewR: Architectural-Scale Multi-User Mixed Reality With Mobile Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2024 |
Immersive interaction
mixed reality |
0.8 | 1 | 2024 | ViewR: Architectural-Scale Multi-User Mixed Reality With Mobile Head-Mounted Displays · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
world state synchronization · 1.5inside-out markerless tracking · 1.5video-passthrough · 0.8video pass-through · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | ViewR: Architectural-Scale Multi-User Mixed Reality With Mobile Head-Mounted DisplaysabstractThe emergence of mobile head-mounted displays with robust "inside-out" markerless tracking and video-passthrough permits the creation of novel mixed reality (MR) experiences in which architectural spaces of arbitrary size can be transformed into immersive multi-user visualisation arenas. Here we outline ViewR, an open-source framework for rapidly constructing and deploying architectural-scale multi-user MR experiences. ViewR includes tools for rapid alignment of real and virtual worlds, tracking loss detection and recovery, user trajectory visualisation and world state synchronisation between users with persistence across sessions. ViewR also provides control over the blending of the real and the virtual, specification of site-specific blending zones, and video-passthrough avatars, allowing users to see and interact with one another directly. Using ViewR, we explore the transformation of large architectural structures into immersive arenas by creating a range of experiences in various locations, with a particular focus on architectural affordances such as mezzanines, stairs, gangways and elevators. Our tests reveal that ViewR allows for experiences that would not be possible with pure virtual reality, and indicate that, with certain strategies for recovering from tracking errors, it is possible to construct large scale multi-user MR experiences using contemporary consumer virtual reality head-mounted displays. Florian Schier, Daniel Zeidler, Krishnan Chandran, Zhongyuan Yu, Matthew McGinity |
IEEE Trans. Vis. Comput. Graph. | 1 |