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Combining discriminative and model based approaches for hand pose estimation
2015
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
In this paper we present an approach to hand pose estimation that combines both discriminative and modelbased methods to overcome the limitations of each technique in isolation. A Randomised Decision Forests (RDF) is used to provide an initial estimate of the regions of the hand. This initial segmentation provides constraints to which a 3D model is fitted using Rigid Body Dynamics. Model fitting is guided using point to surface constraints which bind a kinematic model of the hand to the depth
doi:10.1109/fg.2015.7163141
dblp:conf/fgr/KrejovGB15
fatcat:xyxl4esbuveqbmsjdilvltgws4