Echtzeit-Fingertracking in Unity 3D durch 3D Convolutional Neural Networks in einem Multi-Depth-Camera-Setup
| dc.contributor.author | Dewitz, Bastian | |
| dc.contributor.author | Picker, Tobias | |
| dc.contributor.author | Geiger, Chris | |
| dc.contributor.author | Steinicke, Frank | |
| dc.contributor.editor | Weier, Martin | |
| dc.contributor.editor | Bues, Matthias | |
| dc.contributor.editor | Wechner, Reto | |
| dc.date.accessioned | 2022-06-02T20:26:39Z | |
| dc.date.available | 2022-06-02T20:26:39Z | |
| dc.date.issued | 2021 | |
| dc.identifier.doi | 10.18420/vrar2021_8 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/38693 | |
| dc.language.iso | de | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | GI VR / AR Workshop | |
| dc.title | Echtzeit-Fingertracking in Unity 3D durch 3D Convolutional Neural Networks in einem Multi-Depth-Camera-Setup | de |
| dc.type | Text/short | |
| gi.conference.date | 9.-10. September 2021 | |
| gi.conference.location | Sankt Augustin |
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