A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
First Person Indoor/Outdoor Augmented Reality Application: ARQuake
Personal and Ubiquitous Computing
Interactive Multi-Marker Calibration for Augmented Reality Applications
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
A Wearable Augmented Reality System Using Positioning Infrastructures and a Pedometer
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
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
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Estimating camera position and posture by using feature landmark database
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Authoring of mixed reality applications including multi-marker calibration for mobile devices
EGVE'04 Proceedings of the Tenth Eurographics conference on Virtual Environments
Localization system for large indoor environments using invisible markers
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Visually Elegant and Robust Semi-Fiducials for Geometric Registration in Mixed Reality
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Balancing Design Freedom and Constraints in Wall Posters Masquerading as AR Tracking Markers
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
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It is necessary to precisely measure pose (position and orientation) of a user in order to realize an augmented reality (AR) system with a wearable computer. One of major methods for measuring user’s pose in AR is visual marker-based approach which calculates them by recognizing markers pasted up on the ceilings or walls. The method needs 3D pose information of visual markers in advance. However, much cost is necessary to calibrate visual markers pasted up on the ceiling in a wide environment. In this paper, an initialization tool for installing visual markers in wearable AR is proposed. The administrator is assisted in installing visual markers in a wide environment by the proposed tool. The tool calibrates alignment of visual markers which exist in the real environment with high accuracy by recognizing them in the images captured by a high-resolution still camera. Additionally, the tool assists the administrator in repairing the incorrect pattern of marker using a wearable AR system.