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3D Reconstruction of a Moving Point from a Series of 2D Projections

  • Hyun Soo Park
  • Takaaki Shiratori
  • Iain Matthews
  • Yaser Sheikh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6313)

Abstract

This paper presents a linear solution for reconstructing the 3D trajectory of a moving point from its correspondence in a collection of 2D perspective images, given the 3D spatial pose and time of capture of the cameras that produced each image. Triangulation-based solutions do not apply, as multiple views of the point may not exist at each instant in time. A geometric analysis of the problem is presented and a criterion, called reconstructibility, is defined to precisely characterize the cases when reconstruction is possible, and how accurate it can be. We apply the linear reconstruction algorithm to reconstruct the time evolving 3D structure of several real-world scenes, given a collection of non-coincidental 2D images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hyun Soo Park
    • 1
  • Takaaki Shiratori
    • 1
    • 2
  • Iain Matthews
    • 2
  • Yaser Sheikh
    • 1
  1. 1.Carnegie Mellon UniversityPittsburghUSA
  2. 2.Disney Research, PittsburghPittsburghUSA

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