Paper Info
Title
Single Camera Tracking of Marker Clusters: Multiparameter Cluster Optimization and Experimental Verification
Abstract
We have built a system for augmented reality visualization based on a single head mounted tracking camera. The camera includes an infrared illuminator and works in conjunction with a set of retro-reflective markers that are placed around the workspace. This marker frame configuration delivers excellent pose information, which translates to stable, jitter-free augmentation. In this article, we describe using the same single camera system for tracking relatively small marker clusters, which can be used for tool or instrument tracking. Tracking of such a marker cluster is more susceptible to noise compared to tracking of a marker frame, mainly due to its small image coverage. The sensitivity to noise is studied using Monte Carlo simulations and verified in an experimental setup. We achieved jitter-free augmentation with an optimized cluster design.
Year
DOI
Venue
2002
10.1109/ISMAR.2002.1115082
ISMAR
Keywords
Field
DocType
Monte Carlo methods,augmented reality,data visualisation,optical tracking,Monte Carlo simulations,augmented reality visualization,infrared illuminator,instrument tracking,marker cluster tracking,marker frame configuration,multiparameter cluster optimization,noise,optimized cluster design,pose information,retro-reflective markers,single camera tracking,single head mounted tracking camera,stable jitter-free augmentation,tool tracking
Cluster (physics),Computer vision,Monte Carlo method,Data visualization,Camera tracking,Workspace,Visualization,Computer science,Tracking system,Augmented reality,Artificial intelligence
Conference
ISBN
Citations 
PageRank 
0-7695-1781-1
18
1.80
References 
Authors
9
4
Name
Order
Citations
PageRank
Sebastian Vogt111212.96
Ali Khamene246938.63
Frank Sauer317315.07
Heinrich Niemann41650288.56