A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing constraint-based motion editing methods
Graphical Models
Tracking Articulated Hand Motion with Eigen Dynamics Analysis
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
GPU-based parallel particle swarm optimization
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Model-Based 3D Hand Pose Estimation from Monocular Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sleight of hand: perception of finger motion from reduced marker sets
I3D '12 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
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Motion capture data has been pivotal to the success of creating realistic animation for human characters. There are a number of public full-body motion databases available, but large and heterogeneous databases for hand articulations are not available. In this paper, we introduce a novel acquisition framework for acquiring a wide range of high-fidelity hand motion data. Our key idea is to leverage marker position data recorded by a twelve-camera optical motion capture system and RGB/Depth data obtained from a single Microsoft Kinect camera. We formulate the hand motion capture problem in a nonlinear optimization framework by maximizing consistency between the reconstructed motion and observed measurement. We introduce an efficient optimization technique to estimate the optimal hand pose that best matches observed data. We have demonstrated the power and effectiveness of our system by capturing a wide variety of delicate hand articulations, even in case of significant self-occlusion.