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Automatic Reconstruction of Wide-Area Fiducial Marker Models

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2 Author(s)
Klopschitz, M. ; Graz Univ. of Technol., Graz ; Schmalstieg, D.

We present an approach towards automatic reconstruction of large assemblies of fiducial markers scattered throughout a wide indoor area, using a computer vision based reconstruction approach. The data is acquired from a video stream captured with a monoscopic camera. The system is capable of creating markers models that are significantly larger in physical area and number of markers than with previous approaches.

Published in:
Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on

Date of Conference: 13-16 Nov. 2007

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