Improving static and dynamic registration in an optical see-through HMD
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
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
Maximum-Likelihood Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Optical Tracking Using Projective Invariant Marker Pattern Properties
VR '03 Proceedings of the IEEE Virtual Reality 2003
Reach the virtual environment: 3D tangible interaction with scientific data
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
Efficient marker matching using pair-wise constraints in physical therapy
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
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In this paper we present a practical method for reducing the space when searching for point patterns in optically tracked virtual reality applications. The method uses a predictor to estimate the future position of a point. The key idea is to define a metric that determines the quality of the predictor, and use this metric to construct a 3D region around the predicted position of each point. The size and shape of the 3D region is based on the kinematic properties of the predicted point. The 3D region is projected into 2D to obtain the required search window.The contribution of the paper is that the search space can be reduced substantially by making use of adaptive window shapes and sizes.