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Camera Pose Estimation from Sequence of Calibrated Images

  • Jacek Komorowski
  • Przemysław Rokita
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 184)

Summary

In this paper a method for camera pose estimation from a sequence of images is presented. The method assumes camera is calibrated (intrinsic parameters are known) which allows to decrease a number of required pairs of corresponding points compared to uncalibrated case. Our algorithm can be used as a first stage in a structure from motion stereo reconstruction system.

Keywords

Intrinsic Parameter Translation Vector Sift Feature Epipolar Geometry Essential Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Institute of Computer ScienceMaria Curie-Sklodowska UniversityLublinPoland
  2. 2.Institute of Computer ScienceWarsaw University of TechnologyWarsawPoland

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