NDLI: Real-time hybrid pose estimation from vision and inertial data

Content Provider	IEEE Xplore Digital Library
Author	Grimm, M. Grigat, R.-R.
Copyright Year	2004
Description	Author affiliation: Technical University of Hamburg-Harburg (Grimm, M.)
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.
Starting Page	480
Ending Page	486
File Size	1552752
Page Count	7
File Format	PDF
ISBN	0769521274
DOI	10.1109/CCCRV.2004.1301487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Uncertainty Ergonomics Cameras Hardware Robustness Sensor systems Mobile handsets Application software Personal digital assistants
Content Type	Text
Resource Type	Article

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