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Robust Global Translations with 1DSfM

  • Kyle Wilson
  • Noah Snavely
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8691)

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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