Model-Based 3D Hand Pose Estimation from Monocular Video

A novel model-based approach to 3D hand tracking from monocular video is presented. The 3D hand pose, the hand texture, and the illuminant are dynamically estimated through minimization of an objective function. Derived from an inverse problem formulation, the objective function enables explicit use...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2011-09, Vol.33 (9), p.1793-1805
Hauptverfasser:	de La Gorce, M., Fleet, D. J., Paragios, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial intelligence Computer Science Computer science control theory systems Computer Vision and Pattern Recognition Exact sciences and technology generative modeling gradient descent Hand - physiology Hand tracking Humans Image edge detection Imaging, Three-Dimensional - methods Materials handling Mathematical models Minimization model based shape from shading Models, Theoretical Optimization Pattern recognition. Digital image processing. Computational geometry pose estimation Solid modeling Studies Surface layer Surface texture Texture Three dimensional Three dimensional displays Three dimensional models Tracking variational formulation Video Recording - methods
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