Fast Recovery of Weakly Textured Surfaces from Monocular Image Sequences

  • Oliver Ruepp
  • Darius Burschka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6495)

Abstract

We present a method for vision-based recovery of three-dimensional structures through simultaneous model reconstruction and camera position tracking from monocular images. Our approach does not rely on robust feature detecting schemes (such as SIFT, KLT etc.), but works directly on intensity values in the captured images. Thus, it is well-suited for reconstruction of surfaces that exhibit only minimal texture due to partial homogeneity of the surfaces. Our method is based on a well-known optimization technique, which has been implemented in an efficient yet flexible way, in order to achieve high performance while ensuring extensibility.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Oliver Ruepp
    • 1
  • Darius Burschka
    • 1
  1. 1.Institut für InformatikTechnische Universität MünchenGarching bei MünchenGermany

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