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Fundamental Matrix Estimation Based On A Generalized Eigenvalue Problem

  • H.X. Zhong
  • Y.P. Feng
  • Y.J. Pang
Conference paper

Abstract

A new method for estimating the fundamental matrix is proposed. Using eigenvectors corresponding to the two smallest eigenvalues obtained by the orthogonal least-squares technique, we construct a 3 × 3 generalized eigenvalue problem. Its solution gives not only the fundamental matrix but also the corresponding epipoles. The new method performs well as compared with several existing linear methods.

Keywords

Linear Method Small Eigenvalue Real Eigenvalue Fundamental Matrix Synthetic Image 
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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REFERENCES

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Copyright information

© Springer 2006

Authors and Affiliations

  • H.X. Zhong
    • 1
  • Y.P. Feng
    • 1
  • Y.J. Pang
    • 1
  1. 1.College of Computer Science and TechnologyJilin University, Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of EducationChangchunP.R. China

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