Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Online 6 DOF Augmented Reality Registration from Natural Features
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Reconstructing While Registering: A Novel Approach for Markerless Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
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 real-time tracker for markerless augmented reality
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Sensor Fusion and Occlusion Refinement for Tablet-Based AR
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Markerless Augmented Reality Using Image Mosaics
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
AR Display for Observing Sports Events Based on Camera Tracking Using Pattern of Ground
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
AR baseball presentation system with integrating multiple planar markers
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Position estimation of solid balls from handy camera for pool supporting system
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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We propose a novel vision-based registration approach for Augmented Reality with integration of arbitrary multiple planes. In our approach, we estimate the camera rotation and translation by an uncalibrated image sequence which includes arbitrary multiple planes. Since the geometrical relationship of those planes is unknown, for integration of them, we assign 3D coordinate system for each plane independently and construct projective 3D space defined by projective geometry of two reference images. By integration with the projective space, we can use arbitrary multiple planes, and achieve high-accurate registration for every position in the input images.