New Techniques for Hand Pose Estimation Based on Kinect Depth Data
| dc.contributor.author | Hummel, Simon | en_US |
| dc.contributor.author | Haefner, Victor | en_US |
| dc.contributor.author | Haefner, Polina | en_US |
| dc.contributor.author | Ovtcharova, Jivka | en_US |
| dc.contributor.editor | Jerome Perret and Valter Basso and Francesco Ferrise and Kaj Helin and Vincent Lepetit and James Ritchie and Christoph Runde and Mascha van der Voort and Gabriel Zachmann | en_US |
| dc.date.accessioned | 2014-12-17T13:09:06Z | |
| dc.date.available | 2014-12-17T13:09:06Z | |
| dc.date.issued | 2014 | en_US |
| dc.description.abstract | In this paper we present new techniques for extension and improvement of approaches to markerless 3D hand pose estimation: A new algorithm for finger segmentation in point clouds of hands is presented which makes use of the narrow and flexible shape of the fingers. The kinematic of a 3D hand model gets aligned to the geodesic paths of the fingers which provides a very natural configuration of the model. Therefore a new technique for optimization of those geodesic paths is introduced. Another benefit of this system is, that it's only data resource is the depth stream of a Kinect. So no additional hardware, markers or training data is needed. A first implementation of our approach provides a proof for the new concepts and looks promising for further investigation. | en_US |
| dc.description.seriesinformation | EuroVR 2014 - Conference and Exhibition of the European Association of Virtual and Augmented Reality | en_US |
| dc.identifier.isbn | 978-3-905674-76-7 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/eurovr.20141355 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.3.6 [Computer Graphics] | en_US |
| dc.subject | Methodology and Techniques | en_US |
| dc.subject | Interaction techniques | en_US |
| dc.subject | I.3.7 [Computer Graphics] | en_US |
| dc.subject | Three Dimensional Graphics and Realism | en_US |
| dc.subject | Virtual reality | en_US |
| dc.title | New Techniques for Hand Pose Estimation Based on Kinect Depth Data | en_US |
Files
Original bundle
1 - 1 of 1