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Abstract: In this report, we detail a novel approach to recover 3D hand pose from 2D images. To this end, we introduce a compact 3D hand model in a low dimension space where anatomy, kinematics and dynamics are implicitly inherited. The parameters of this model are recovered through a Bayesian inference approach. To this end, we propose an objective function which aims at separating the hand-skin characteristics within the 2D hand silhouette from the cluttered background. To address computational issues... (Update)
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BibTeX entry: (Update)
@misc{ gorce-hand,
author = "Martin de La Gorce and Nikos Paragios",
title = "Hand Poste Estimation with Constrained Multi-hypotheses Gradient-Descent",
url = "citeseer.ist.psu.edu/delagorce05hand.html" }
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