Multiple view geometry in computer vision
Multiple view geometry in computer vision
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Marker-less Tracking for AR: A Learning-Based Approach
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
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
Proceedings of the 2005 international conference on Augmented tele-existence
Virtual object manipulation using a mobile phone
Proceedings of the 2005 international conference on Augmented tele-existence
How real should virtual characters be?
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
AR baseball presentation system based on registration with multiple markers
Proceedings of the 2006 ACM SIGCHI international conference on Advances in computer entertainment technology
Applying distribution of feature points to detect multiple plane
International Journal of Grid and Utility Computing
Model-Based multi-view registration for RGB-D sensors
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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We propose a vision-based registration method for Augmented Reality (AR) that uses real scenes containing multiple planar structures. Our method provides users with an enhanced view of a real scene by overlaying computer-generated virtual objects onto images captured with a movable camera. The virtual objects are associated with a 3D planar structure and appeared to move with that structure. To align the coordinates of the virtual objects with the coordinates of the images captured with the camera, the camera's motion should be estimated for every frame by tracking and integrating the multiple planes. In contrast with related work, the proposed method does not require a priori knowledge about the geometrical relationships among the multiple planes because the geometrical relationship is automatically estimated by ''Projective Space''. This space is 3D and is defined by projective reconstruction of two reference images. Automatic estimation using the Projective Space can eliminate the time-consuming task of measuring the planes and the constraints of plane arrangement, e.g. only vertical or co-planar. Therefore, the proposed method can be applied even to complicated multi-planar scenes.