3d Hand model animation with a new data-driven method

Ouissem Ben Henia (1) , Saida Bouakaz (1)

1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée

This paper presents a data-driven method to track hand gesture and animate 3D hand model. The proposed method uses a new generation of active camera based on time of flight principle(The Swissranger4000). To achieve the tracking, the presented method exploits a database of hand gestures represented as 3D point clouds acquired from the Swissranger4000 video camera. In order to track a large number of hand poses with a database as small as possible we classify the hand gestures using a Principal Component Analysis (PCA). Applied to each point cloud, the PCA produces a new representation of the hand pose independent of the position and orientation in the 3D space. To explore fast and efficiently the database we use a comparison function based on 3D distance transform. Experimental results on real data demonstrate the potential of the method

Domaines: Informatique [cs]

Ouissem Ben Henia, Saida Bouakaz. 3d Hand model animation with a new data-driven method. The 24th International Conference on Computer Animation and Social Agents(CASA), May 2011, Chengdu, China. ⟨hal-01354462⟩