Optical tracking and calibration of tangible interaction devices

Authors:
Arjen van Rhijn;Jurriaan D. Mulder
Affiliations:
Center for Mathematics and Computer Science, CWI, Amsterdam, The Netherlands;Center for Mathematics and Computer Science, CWI, Amsterdam, The Netherlands
Venue:
EGVE'05 Proceedings of the 11th Eurographics conference on Virtual Environments
Year:
2005

Citing 8
Cited 3

Three-dimensional motion computation and object segmentation in a long sequence of stereo frames

International Journal of Computer Vision
Algorithms and Theory of Computation Handbook

Algorithms and Theory of Computation Handbook
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms

International Journal of Computer Vision
A direct method for stereo correspondence based on singular value decomposition

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ASSET-2: real-time motion segmentation and shape tracking

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Depth Discontinuities by Pixel-to-Pixel Stereo

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Self-Calibrating Optical Motion Tracking for Articulated Bodies

VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
An experimental comparison of three optical trackers for model based pose determination in virtual reality

EGVE'04 Proceedings of the Tenth Eurographics conference on Virtual Environments

Virtual Environments: Graphtracker: A topology projection invariant optical tracker

Computers and Graphics
Technical Section: Scaffolded learning with mixed reality

Computers and Graphics
A mixed reality approach for interactively blending dynamic models with corresponding physical phenomena

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a novel optical tracking and object calibration system is presented for the recognition and pose estimation of tangible interaction devices for virtual and augmented reality systems. The calibration system allows a user to automatically generate models of the relative positions of point-shaped markers attached to interaction devices, simply by moving them in front of the cameras. There are virtually no constraints on the shape of interaction devices. The tracking method takes the calibrated models as input, and recognizes devices by subgraph matching. Both the calibration and tracking methods can handle partial occlusion. Results show the proposed techniques are efficient, accurate, and robust.