International Journal of Computer Vision - 1998 Marr Prize
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Eyes from Eyes: New Cameras for Structure from Motion
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Real-Time Simultaneous Localisation and Mapping with a Single Camera
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Real-Time Localisation and Mapping with Wearable Active Vision
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Online camera pose estimation in partially known and dynamic scenes
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
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This paper describes a visual markerless real-time tracking system for Augmented Reality applications. The system uses a firewire camera with a fisheye lens mounted at 10 fps. Visual tracking of 3D scene points is performed simultaneously with 3D camera pose estimation without any prior scene knowledge. All visual-geometric data is acquired using a structure-from-motion approach. The lens selection was driven by research results that show the superiority of a fisheye lens to a standard perspective lens for this approach. 2D features in the hemispherical image are tracked using a 2D point tracker. Based on the feature tracks, 3D camera ego-motion and 3D features are estimated.