Walking walking-in-place flying, in virtual environments
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Double exponential smoothing: an alternative to Kalman filter-based predictive tracking
EGVE '03 Proceedings of the workshop on Virtual environments 2003
VIS-Tracker: A Wearable Vision-Inertial Self-Tracker
VR '03 Proceedings of the IEEE Virtual Reality 2003
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
SCAAT: Incremental Tracking with Incomplete Information
SCAAT: Incremental Tracking with Incomplete Information
Self-tracker: a smart optical sensor on silicon (vlsi, graphics)
Self-tracker: a smart optical sensor on silicon (vlsi, graphics)
High-Performance Wide-Area Optical Tracking: The HiBall Tracking System
Presence: Teleoperators and Virtual Environments
Presence: Teleoperators and Virtual Environments
Exploring large virtual environments with an HMD when physical space is limited
Proceedings of the 4th symposium on Applied perception in graphics and visualization
Prakash: lighting aware motion capture using photosensing markers and multiplexed illuminators
ACM SIGGRAPH 2007 papers
A head-mounted three dimensional display
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
The benefits of using a walking interface to navigate virtual environments
ACM Transactions on Computer-Human Interaction (TOCHI)
Evaluation of the Cognitive Effects of Travel Technique in Complex Real and Virtual Environments
IEEE Transactions on Visualization and Computer Graphics
VR '10 Proceedings of the 2010 IEEE Virtual Reality Conference
Velocity-dependent dynamic curvature gain for redirected walking
VR '11 Proceedings of the 2011 IEEE Virtual Reality Conference
IEEE Transactions on Visualization and Computer Graphics
Hi-index | 0.00 |
In this paper we present a novel approach for tracking the movement of a user in a large indoor environment. Many studies show that natural walking in virtual environments increases the feeling of immersion by the users. However, most tracking systems suffer from a limited working area or are expensive to scale up to a reasonable size for navigation. Our system is designed to be easily scalable both in working area and number of simultaneous users using inexpensive off-the-shelf components. To accomplish this, the system determines the 6 DOF pose using passive LED strips, mounted to the ceiling, which are spatially encoded using De Bruijn codes. A camera mounted to the head of the user records these patterns. The camera can determine its own pose independently, so no restriction on the number of tracked objects is required. The system is accurate to a few millimeters in location and less than a degree in orientation. The accuracy of the tracker is furthermore independent of the size of the working area which makes it scalable to enormous installations. To provide a realistic feeling of immersion, the system is developed to be real-time and is only limited by the framerate of the camera, currently at 60Hz.