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Nouvelle méthode de suivi des mouvements la main utilisant des nuages de points 3D

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 : 3D model-based methods for hand tracking use generally a 3D parametric hand model. These methods define a comparison function, also called cost function or dissimilarity function to compare the observed hand poses in video sequence with those of the 3D model. The tracking of the hand motion is formulated as a minimization problem where the cost function is minimized to provide the model parameters which reproduce the hand motion. Many cost functions exploit 2D information such as edges and silhouettes contained in the frames of the video sequence. These functions allow tracking simple hand motion. Unfortunately these kinds of functions can't deal with the tracking of complex hand motion. This paper presents a new depth-based function to track complex hand motion such as opening and closing hand. Our proposed function compares 3D point clouds. Each hand point cloud is compared with several clouds of points which correspond to different model poses in order to obtain the model pose that is close to the hand one. The proposed function is based on 3D distance transform and well adapted to our case. Experimental results from synthetic data show the potential of the presented method.
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Submitted on : Tuesday, May 24, 2011 - 7:43:52 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:10 PM
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  • HAL Id : inria-00595487, version 1


Ouissem Ben-Hania, Saïda Bouakaz. Nouvelle méthode de suivi des mouvements la main utilisant des nuages de points 3D. ORASIS - Congrès des jeunes chercheurs en vision par ordinateur, INRIA Grenoble Rhône-Alpes, Jun 2011, Praz-sur-Arly, France. ⟨inria-00595487⟩



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