SMPTE Motion Imaging Journal · 2007 · 12 citations · 5 references
In order to insert a virtual object into a TV image, the graphics system needs to know precisely how the camera is moving, so that the virtual object can be rendered in the correct place in every frame. Nowadays this can be achieved relatively easily in post-production, or in a studio equipped with a special tracking system. However, for live shooting on location, or in a studio that is not specially equipped, installing such a system can be difficult or uneconomic. To overcome these limitations, the MATRIS project is developing a real-time system for measuring the movement of a camera. The system uses image analysis to track naturally occurring features in the scene, and data from an inertial sensor. No additional sensors, special markers, or camera mounts are required. This paper gives an overview of the system and presents some results.
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Martin A. Fischler, Robert C. Bolles · Communications of the ACM · 1981 · 24.9K citations · Full text
Engineering, Random Sample Consensus, Sampling Technique +20
Real-time camera pose estimation for augmenting sports scenes
Giles Thomas · 2006 · 24 citations
Drift-free pose estimation with hemispherical cameras
Kevin Koeser, Bogumil Bartczak, Reinhard Koch · 2006 · 10 citations