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A factorization based algorithm for multi-image projective structure and motion

  • Peter Sturm
  • Bill Triggs
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1065)

Abstract

We propose a method for the recovery of projective shape and motion from multiple images of a scene by the factorization of a matrix containing the images of all points in all views. This factorization is only possible when the image points are correctly scaled. The major technical contribution of this paper is a practical method for the recovery of these scalings, using only fundamental matrices and epipoles estimated from the image data. The resulting projective reconstruction algorithm runs quickly and provides accurate reconstructions. Results are presented for simulated and real images.

Keywords

Singular Value Decomposition Image Point Fundamental Matrix Fundamental Matrice Epipolar Line 
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 1996

Authors and Affiliations

  • Peter Sturm
    • 1
  • Bill Triggs
    • 1
  1. 1.GRAVIR-IMAG & INRIA Rhône-AlpesGrenobleFrance

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