Real-Time Hybrid Pose Estimation from Vision and Inertial Data

  • Authors:
  • Affiliations:
  • Venue:
  • CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
  • Year:
  • 2004

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Abstract

The output signals of inertial sensors and a cameraare used to realise a pen-like human-computer interfacewith six degrees of freedom. The pen-like interface worksover planar, structured surfaces. The pose estimation with amonocular camera has a high uncertainty on the rotation ifthe 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 accelerometersthe absolute 2D tilt of the pen-like interfacewith respect to the gravitational .eld is calculated. This 2Drotation information is used to improve the robustness ofthe pose estimation using a modi.ed homography calculation.Utilising three-dimensional detection of the penýs poseseveral applications are possible, e.g. ergonomic human-computerinterfaces in 6D, image mosaicing applicationsor devices for handwriting input.