Authors:
Thomas Kerstein
;
Hubert Roth
and
Jürgen Wahrburg
Affiliation:
University of Siegen, Germany
Keyword(s):
X-corner, Fiducial Marker, Optical Localization, Image Guided Surgery (IGS), Corner Detection.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Classification
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Object Recognition
;
Pattern Recognition
;
Physiological Computing Systems
;
Software Engineering
;
Theory and Methods
Abstract:
In this paper a novel approach for reliable detection and accurate localization of X-corner fiducial markers is presented, which is particularly designed for Image Guided Surgery (IGS). The key idea is to combine two meaningful basic topological characteristics to one boosted filter providing adequate detection reliability and localization accuracy. Additionally and in contrast to conventional, retroreflective planar or spherical markers, X-corner fiducials facilitate not only position measurements with high precision but provide additional orientation information for improving distinction of multiple fiducials arranged within a geometrical reference structure. Experiments reveal robustness to considerable perspective distortion as well as invariance to illumination changes. Furthermore the presented approach offers high computational efficiency and a high level of flexibility for application-specific system design.