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Robust Global Translations with 1DSfM
Kyle Wilson and Noah Snavely
Cornell University, Ithaca, NY, USAwilsonkl@cs.cornell.edu
snavely@cs.cornell.edu
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
LNCS 8691, p. 61 ff.
lncs@springer.com
© Springer International Publishing Switzerland 2014