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Utilisation de l'ACP pour la reconnaissance des gestes 3D de la main

Ouissem Ben-Hania 1 Saïda Bouakaz 1
1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Data-driven methods for hand tracking require a big database to track a large number of hand gestures. In this paper, we propose a new data-driven method for hand tracking which uses a database built from a small number of hand gestures in order to animate 3D hand models. The database is built from 3D point clouds representing the hand gestures. In order to classify the hand gesture, a principal component analysis (PCA) is applied to each cloud of points to produce a new presentation independent of the spatial position and orientation of each 3D point cloud. The obtained representations are used to build our database. To explore fast and efficiently the database, we define a comparison function based on 3D distance transform. Experimental results based on real data obtained by the use of a time of flight video camera (Swissranger4000), demonstrate the efficiency of the method.
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Submitted on : Tuesday, May 24, 2011 - 7:46:35 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:10 PM
Long-term archiving on: : Thursday, August 25, 2011 - 2:28:37 AM


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  • HAL Id : inria-00595488, version 1


Ouissem Ben-Hania, Saïda Bouakaz. Utilisation de l'ACP pour la reconnaissance des gestes 3D de la main. ORASIS - Congrès des jeunes chercheurs en vision par ordinateur, INRIA Grenoble Rhône-Alpes, Jun 2011, Praz-sur-Arly, France. ⟨inria-00595488⟩



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