A MEMS-based smart sensor system for estimation of camera pose for computer

Aufderheide, Dominik, Krybus, Werner and Dodds, Dennis (2011) A MEMS-based smart sensor system for estimation of camera pose for computer. In: Research and Innovation Conference 2011, 28 - 29 June 2011, Bolton. (Unpublished)

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The estimation of a cameras egomotion during image acquisition is a mandatory task for many different computer vision applications such as Structure from Motion (SfM), Simultaneous Localisation and Mapping (SLAM) or Augmented Reality (AR). The vast majority of the proposed applications are deriving the motion parameters indirectly from the captured images. This paper suggests a smart sensor system (S3) composed from three different micro-electromechanical (MEMS) inertial sensor types as an aiding modality for visionbased camera pose estimation. The S3 implementation contains a signal conditioning unit and a bank of Kalman filters for orientation estimation. The whole system is evaluated by using an industrial robot for the generation of specific motion patterns and the corresponding ground truth orientation measurements.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Conference paper presented at the Research and Innovation Conference 2011, University of Bolton, 28 - 29 June 2011.
Uncontrolled Keywords: Kalman filter, MEMS, Smart Sensor Systems, Inertial Navigation, Multi-Sensor Data Fusion, Camera egomotion estimation
Divisions: University of Bolton Conferences > Research and Innovation Conference > Research and Innovation Conference 2011
Depositing User: Scott Wilson
Date Deposited: 26 Nov 2013 12:52
Last Modified: 16 Dec 2013 10:54
URI: http://ubir.bolton.ac.uk/id/eprint/441

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