Name
Abstract | ||
|---|---|---|
ABSTRACT Augmented Reality Glasses usually implement an Inside-Out tracking. In case of a driving scenario or glasses with less computation capabilities, an Outside-In tracking approach is required. However, to the best of our knowledge, no public datasets exist that collects images of users wearing AR glasses. To address this problem, we present HMDPose, an infrared trinocular dataset of four different AR Head-mounted displays captured in a car. It contains sequences of 14 subjects captured by three different cameras running at 60 FPS each, adding up to more than 3,000,000 labeled images in total. We provide a ground truth 6DoF-pose, captured by a submillimeter accurate marker-based tracker. We make HMDPose publicly available for non-profit, academic use and non-commercial benchmarking on ags.cs.uni-kl.de/datasets/hmdpose/. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1145/3385956.3422121 | VRST |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmet Firintepe | 1 | 0 | 0.34 |
| Alain Pagani | 2 | 5 | 3.57 |
| Didier Stricker | 3 | 1266 | 138.03 |