Hybrid Tracking for Outdoor Augmented Reality Applications
IEEE Computer Graphics and Applications
Visual registration for unprepared augmented reality environments
Personal and Ubiquitous Computing
Robust Vision-Based Registration Utilizing Bird's-Eye View with User's View
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
A Head Tracking Method Using Bird's-Eye View Camera and Gyroscope
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Registration using projective reconstruction for augmented reality systems
VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
Registration Based on Projective Reconstruction Technique for Augmented Reality Systems
IEEE Transactions on Visualization and Computer Graphics
Tracking points using projective reconstruction for augmented reality
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Implicit 3D modeling and tracking for anywhere augmentation
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Technical Section: All around the map: Online spherical panorama construction
Computers and Graphics
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Using aerial photographs for improved mobile AR annotation
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Dynamic gyroscope fusion in Ubiquitous Tracking environments
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Technical Section: A generalized registration method for augmented reality systems
Computers and Graphics
Real-time camera pose in a room
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Augmented Reality: Handheld Augmented Reality involving gravity measurements
Computers and Graphics
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In this paper, a registration method for outdoorwearable AR systems is described. Our approach is basedon using a high precision gyroscope, which can measure3DOF angle of head direction accurately, but with somedrift error. We solved the drift problem with a vision-baseddrift compensation algorithm, which tracks naturalfeatures in the outdoor environment as landmarks fromimages captured by a camera on an HMD. This paper firstdescribes the detail of the vision-based drift compensationmethod. Then, a calibration method for the orientationsensor is proposed. Finally, using results from an actualwearable AR system, a comparison of registration errorwith and without vision-based drift compensationdemonstrates the feasibility of the proposed method.