GPU accelerated gesture detection for real time interaction
| dc.contributor.author | Bierz, T. | |
| dc.contributor.author | Ebert, A. | |
| dc.contributor.author | Meyer, J. | |
| dc.contributor.editor | Hagen, Hans | |
| dc.contributor.editor | Hering-Bertram, Martin | |
| dc.contributor.editor | Garth, Christoph | |
| dc.date.accessioned | 2017-09-23T07:01:44Z | |
| dc.date.available | 2017-09-23T07:01:44Z | |
| dc.date.issued | 2008 | |
| dc.description.abstract | Over the past years, the interaction between humans and computers (HCI) evolved to one of the most important research topics in computer science. Therefore, finding a way for an intuitive, easy and affordable interaction is the main challenge. Optical markerless tracking using consumer hardware can satisfy these problems. However, in order to be able to interact in an efficient way, the tracking and furthermore the interaction must be handled in real time. This leads to efficient use of current GPUs in order to speed up the tracking and furthermore the gesture recognition. Involving these issues, an approach for an implementation and system will be presented in the following paper. | en |
| dc.identifier.isbn | 978-3-88579-441-7 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/4628 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Visualization of large and unstructured data sets | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-7 | |
| dc.title | GPU accelerated gesture detection for real time interaction | en |
| gi.citation.endPage | 75 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 64 | |
| gi.conference.date | 9. - 11. September 2007 | |
| gi.conference.location | Kaiserslautern |
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