A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual tracking of high DOF articulated structures: an application to human hand tracking
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Swarm intelligence
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Visual Hand Tracking Using Nonparametric Belief Propagation
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation (Gpu Gems)
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Vision-based hand pose estimation: A review
Computer Vision and Image Understanding
Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
Markerless human articulated tracking using hierarchical particle swarm optimisation
Image and Vision Computing
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
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
Model-based 3D tracking of an articulated hand from single depth images
Pattern Recognition Letters
Dimensionality reduction for efficient single frame hand pose estimation
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
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We present a novel method that, given a sequence of synchronized views of a human hand, recovers its 3D position, orientation and full articulation parameters. The adopted hand model is based on properly selected and assembled 3D geometric primitives. Hypothesized configurations/poses of the hand model are projected to different camera views and image features such as edge maps and hand silhouettes are computed. An objective function is then used to quantify the discrepancy between the predicted and the actual, observed features. The recovery of the 3D hand pose amounts to estimating the parameters that minimize this objective function which is performed using Particle Swarm Optimization. All the basic components of the method (feature extraction, objective function evaluation, optimization process) are inherently parallel. Thus, a GPU-based implementation achieves a speedup of two orders of magnitude over the case of CPU processing. Extensive experimental results demonstrate qualitatively and quantitatively that accurate 3D pose recovery of a hand can be achieved robustly at a rate that greatly outperforms the current state of the art.