Hummel, SimonHaefner, VictorHaefner, PolinaOvtcharova, JivkaJerome 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 Zachmann2014-12-172014-12-172014978-3-905674-76-7https://doi.org/10.2312/eurovr.20141355In 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.I.3.6 [Computer Graphics]Methodology and TechniquesInteraction techniquesI.3.7 [Computer Graphics]Three Dimensional Graphics and RealismVirtual reality