Robust Global Translations with 1DSfM

  • Kyle Wilson
  • Noah Snavely
Conference paper

DOI: 10.1007/978-3-319-10578-9_5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8691)
Cite this paper as:
Wilson K., Snavely N. (2014) Robust Global Translations with 1DSfM. In: Fleet D., Pajdla T., Schiele B., Tuytelaars T. (eds) Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol 8691. Springer, Cham

Abstract

We present a simple, effective method for solving structure from motion problems by averaging epipolar geometries. Based on recent successes in solving for global camera rotations using averaging schemes, we focus on the problem of solving for 3D camera translations given a network of noisy pairwise camera translation directions (or 3D point observations). To do this well, we have two main insights. First, we propose a method for removing outliers from problem instances by solving simpler low-dimensional subproblems, which we refer to as 1DSfM problems. Second, we present a simple, principled averaging scheme. We demonstrate this new method in the wild on Internet photo collections.

Keywords

Structure from Motion translations problem robust estimation 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kyle Wilson
    • 1
  • Noah Snavely
    • 1
  1. 1.Cornell UniversityIthacaUSA

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