Complemental Use of Multiple Cameras for Stable Tracking of Multiple Markers

Authors:
Yuki Arai;Hideo Saito
Affiliations:
Department of Information and Computer Science, Keio University, Yokohama, Japan;Department of Information and Computer Science, Keio University, Yokohama, Japan
Venue:
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
Year:
2009

Citing 7
Cited 0

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
Visual Marker Detection and Decoding in AR Systems: A Comparative Study

ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System

IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Combining Edge and Texture Information for Real-Time Accurate 3D Camera Tracking

ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Scene Modelling, Recognition and Tracking with Invariant Image Features

ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Adaptive Line Tracking with Multiple Hypotheses for Augmented Reality

ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
An all-in-one solution to geometric and photometric calibration

ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality

Quantified Score

Hi-index	0.00

Visualization

Abstract

In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in which virtual objects are displayed onto markers while the markers and the cameras are freely moving. In this situation, the marker cannot be tracked when the marker is occluded by some objects. In this paper, we propose a method for tracking the projection matrix between the image and the marker even when the maker is occluded, by using cameras. In this method, we transfer the projection matrix for the marker that is detected by the cameras in order to estimate the relative projection matrix for the occluded marker. After computing the relative projection matrices using multiple cameras, we compute a more accurate projection matrix by using particle filter. As a result, we can continuously track the markers even when the marker is occluded.