Superior augmented reality registration by integrating landmark tracking and magnetic tracking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
Spherical averages and applications to spherical splines and interpolation
ACM Transactions on Graphics (TOG)
Interactive Time-Dependent Particle Tracing Using Tetrahedral Decomposition
IEEE Transactions on Visualization and Computer Graphics
Presence: Teleoperators and Virtual Environments - special issue: IEEE virtual reality 2002 conference
Distortion Correction of Magnetic Fields for Position Tracking
CGI '97 Proceedings of the 1997 Conference on Computer Graphics International
VR '99 Proceedings of the IEEE Virtual Reality
An Improved Calibration Framework for Electromagnetic Tracking Devices
VR '01 Proceedings of the Virtual Reality 2001 Conference (VR'01)
Ultrasonic calibration of a magnetic tracker in a virtual reality space
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
Tracker Calibration using Tetrahedral Mesh and Tricubic Spline Models of Warp
VR '04 Proceedings of the IEEE Virtual Reality 2004
The Effects of Metals and Interfering Fields on Electromagnetic Trackers
Presence: Teleoperators and Virtual Environments
Evaluation of rotation correction techniques for electromagnetic position tracking systems
EG VE'00 Proceedings of the 6th Eurographics conference on Virtual Environments
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We describe a method for calibrating an electromagnetic motion tracking device. Algorithms for correcting both location and orientation data are presented. In particular, we use a method for interpolating rotation corrections that has not previously been used in this context. This method, unlike previous methods, is rooted in the geometry of the space of rotations. This interpolation method is used in conjunction with Delaunay tetrahedralization to enable correction based on scattered data samples. We present measurements that support the assumption that neither location nor orientation errors are dependent on sensor orientation. We give results showing large improvements in both location and orientation errors. The methods are shown to impose a minimal computational burden.