A brief review of vision based hand gesture recognition
CSECS'11/MECHANICS'11 Proceedings of the 10th WSEAS international conference on Circuits, Systems, Electronics, Control & Signal Processing, and Proceedings of the 7th WSEAS international conference on Applied and Theoretical Mechanics
Motion capture of hands in action using discriminative salient points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Hand pose estimation and hand shape classification using multi-layered randomized decision forests
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Combining marker-based mocap and RGB-D camera for acquiring high-fidelity hand motion data
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Combining marker-based mocap and RGB-D camera for acquiring high-fidelity hand motion data
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Video-based hand manipulation capture through composite motion control
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Recognizing hand gestures using the weighted elastic graph matching (WEGM) method
Image and Vision Computing
Gravity optimised particle filter for hand tracking
Pattern Recognition
Computer Vision and Image Understanding
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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 of temporal texture continuity and shading information while handling important self-occlusions and time-varying illumination. The minimization is done efficiently using a quasi-Newton method, for which we provide a rigorous derivation of the objective function gradient. Particular attention is given to terms related to the change of visibility near self-occlusion boundaries that are neglected in existing formulations. To this end, we introduce new occlusion forces and show that using all gradient terms greatly improves the performance of the method. Qualitative and quantitative experimental results demonstrate the potential of the approach.