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- W2169841312 abstract "The output signals of inertial sensors and a camera are used to realise a pen-like human-computer interface with six degrees of freedom. The pen-like interface works over planar, structured surfaces. The pose estimation with a monocular camera has a high uncertainty on the rotation if the surface is unknown and no pre-known markers are used. A hybrid pose estimation method is used to improve accuracy. From output signals of three orthogonally placed accelerometers the absolute 2D tilt of the pen-like interface with respect to the gravitational field is calculated. This 2D rotation information is used to improve the robustness of the pose estimation using a modified homography calculation. Utilising three-dimensional detection of the pen?s pose several applications are possible, e.g. ergonomic humancomputer interfaces in 6D, image mosaicing applications or devices for handwriting input." @default.
- W2169841312 created "2016-06-24" @default.
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- W2169841312 date "2004-01-01" @default.
- W2169841312 modified "2023-09-26" @default.
- W2169841312 title "Real-time hybrid pose estimation from vision and inertial data" @default.
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- W2169841312 doi "https://doi.org/10.1109/cccrv.2004.1301487" @default.
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